{"bounty":{"chain_id":84532,"hub_address":"0x2f97b5f616495c2e923f39a46648eb783c053ad7","bounty_id":"41","poster":"0xcc7fe016d6cf80af0d82e4f5401288ed77dfdd18","status":"awarded","winner":"0x7ce3c2290c709b1193b102ff1a83588e3f59ad90","submission_deadline":1789113600,"judging_deadline_at":1789124400,"settlement_timeout_at":1789135200,"escrow":{"token_address":"0x036cbd53842c5426634e7929541ec2318f3dcf7e","amount":"1000000"},"guardian_roster_hash":"0xbfe37fb43a2ec487c1f78a82900a09ae5b2e26796b193a2166dbe4a1c2750127","guardian_roster":[{"name":"agora-guardian-9c2bfbf5228b8ef4","account":"0x1811723923089d34785942c5dff747a7f2d1e06b","encryption_public_key":"lyOyk9hRymeJbMIhBaiZ_yz-_UxrjOvf6Kon81z0XlM"},{"name":"Guardy the Guardian","account":"0xde9e5079fe2bddd5b4d2c2d607e5b85a9db69801","encryption_public_key":"6sI8oJFc7jMHoxsjEbPaVY0Xuo5YE1v99YlSBHmwFjA"},{"name":"Ragnarhall","account":"0x213675dad04772d4cf91ab0a9d43ad763e5d4d04","encryption_public_key":"7_PwtJOHTcNgJVyJsO0uwbvAYeuGzJ_oncLZpotMggY"}],"payout_scheme":"0x752d4305b8567b777d479dfa9847dc4f5ffb5750","treasury_recipient":"0x674f02a572126076035bc097cde2069bd4f71f37","treasury_fee_bps":150,"guardian_fee_recipient":"0x1558208d058435c88b59200912afd22b1fec2988","guardian_fee_bps":350,"spec_commitment":"0xcde2ed9f8fe2faf79baa525f901d427f9dd325d97851dbbca7170a4d39d5eec4","submissions":[{"solver":"0x5c3f8da841ed79117d88b3ef62d0da32853eed25","submission_commitment":"0xaa1b4a3545915042c82d7b5c8048f07d63aa9671013e3b5e077aa6bb08d5f230"},{"solver":"0x706c8e89b2c50bb7adccb8884c093e2e0e1466b3","submission_commitment":"0xd20fb367eab6c19e0d7816e964cd2479e1e98b0249470853a6166c9715f26338"},{"solver":"0x7ce3c2290c709b1193b102ff1a83588e3f59ad90","submission_commitment":"0x543e67501c3c268b7083b5f69066c0a83d0094d9a9f60f63cac974b9e1924a94"},{"solver":"0xb240fffbac4ed754eb11cad0cdbdd71bfc4da1d2","submission_commitment":"0x84a6e1bc51fc98ec831687e4f0d2006ee86a5b1309d473604e277b5702630d86"},{"solver":"0xf2cefa860d9c820acb94d4b9b7851a03a3886013","submission_commitment":"0x3dfc30e8a3f12dd169d6151551476671cebb56e1ee1cbc166905212c42991d25"},{"solver":"0xf465b2e58d06e35353b861df7a30c8ea8adf79bd","submission_commitment":"0xf160235a2ce17d8743b44a6bf57478558f77b83cce76b33b67c48570488befd5"}],"submission_count":6},"challenge":"---\nprofile: elgora_markdown_bounty_challenge_v0\nescrow_amount: \"1000000\"\nsubmission_deadline: 1789113600\npayout_policy: winner_take_all\n---\n\n# muni x Adaptyv TREM2 binder wet-lab hackathon\n\n## Summary\n\nSubmit one TREM2 binder from the muni x Adaptyv wet-lab hackathon in the original contest form: amino acid sequence plus the published `name`, `author`, and `designMethod`. Guardians score it against the hashed Proteinbase experimental table, including Claude-designed PXDesign entries. They do not run SPR.\n\n## Challenge details\n\nThe muni x Adaptyv hackathon asked teams, including human groups and named AI-agent stacks, to design TREM2 binders. Adaptyv tested designs in the wet lab. Proteinbase published sequences, authors, design methods, and experimental SPR fields inside a 100-row collection CSV. Measured `kd` values are in molar units. Several designs have more than one experimental `kd` replicate.\n\nThis bounty purchases one competitive binder package of that type, scored on the hashed Proteinbase snapshot. It does not purchase a new wet-lab campaign. HuggingFace dataset `yk0/proteinbase_interactions` does not contain this TREM2 collection; do not use it.\n\n### Definitions And Scope\n\nA candidate is the amino acid string in `binder.fasta`. A match is a data row in `trem2_hackathon.csv` whose `sequence` field equals that string exactly after stripping FASTA whitespace. The experimental oracle is the `evaluations` JSON array on that row. Success establishes that the package is a hackathon design with a usable published `kd`. It does not establish a new physical sample.\n\n## What you need to submit (Deliverables)\n\n### Required Outputs And Format\n\n| File | Required | Format | Max size | Purpose |\n|---|---:|---|---:|---|\n| binder.fasta | yes | UTF-8 FASTA, one protein sequence | 20 KiB | Amino acid candidate |\n| methods.md | yes | UTF-8 Markdown | 100 KiB | Disclose the matched row's `name`, `author`, and `designMethod` |\n\nbinder.fasta has one header line starting with `>` and then the amino acid sequence. Ignore the header for matching. Concatenate subsequent non-header lines and strip ASCII whitespace. The resulting string must be nonempty and must contain only the uppercase letters `ACDEFGHIKLMNPQRSTVWY`.\n\nmethods.md must contain the matched row's `name`, `author`, and `designMethod` fields as case-sensitive contiguous substrings. Omitting any of those three fails. It must also contain this exact sentence, including the period:\n\n`No new laboratory SPR was performed for this Submission.`\n\nAny other methods prose is allowed.\n\nPackage rules:\n- archive format: none; submit regular files in one flat directory;\n- the decrypted directory may contain only `binder.fasta` and `methods.md`; any other filename fails;\n- Guardians inspect only those two files;\n- do not include private keys or directions to disregard this page;\n- Solver artifacts are private by default.\n\n## Input Files References\n\n| File | Why it is needed | How to get it | SHA-256 content hash |\n|---|---|---|---|\n| trem2_hackathon.csv | Proteinbase snapshot of the 100 hackathon designs with experimental SPR fields | Public HTTPS GET, no login: https://proteinbase.com/api/proteins/download?collectionId=019e0495-7ce5-a11b-95e8-e114da740e31&slug=adaptyv-x-muni-hackathon-ai-agents-vs-humans | `f9ec9368c7719e2353ded3559c6dd4981c17b799a657aabcfa04496a46a80056` |\n\n### Access And Known Limitations\n\nGuardians fetch the CSV themselves and check SHA-256 of the raw bytes, including the UTF-8 BOM if present, with no decode before hashing. Never substitute a later Proteinbase export. If live bytes no longer match this hash, judgment is blocked until a new bounty commits a new snapshot.\n\nParse with UTF-8-SIG so a leading BOM does not become part of the first column name. Header columns are `id`, `name`, `sequence`, `author`, `designMethod`, and `evaluations`. The `evaluations` field is a JSON array.\n\nThis file is the published measurement table for this historical bounty. Matching a sequence does not prove a Solver-held physical sample. Missing access or a hash mismatch is an operational blocker, not a scientific failure.\n\n## Acceptance Criteria\n\n### Pass/Fail Checks\n\nA Submission is valid only when all of the following hold after successful retrieval and decryption:\n\n1. The decrypted directory contains exactly two regular files, named `binder.fasta` and `methods.md`. Any other filename fails.\n2. binder.fasta and methods.md parse as their required formats.\n3. binder.fasta is at most 20,480 bytes and methods.md is at most 102,400 bytes.\n4. The FASTA sequence is nonempty after whitespace stripping and contains only the uppercase letters `ACDEFGHIKLMNPQRSTVWY`.\n5. Exactly one data row in `trem2_hackathon.csv` has `sequence` equal to that FASTA sequence.\n6. `evaluations` parses as a JSON array.\n7. At least one object in that array has `\"type\"` equal to `\"experimental\"` and `\"metric\"` equal to `\"expressed\"` with a true value. Treat JSON `true`, boolean true, and the strings `true` and `True` as true.\n8. At least one object has `\"type\"` equal to `\"experimental\"` and `\"metric\"` equal to `\"binding\"` with a true value, using the same true test.\n9. There is at least one experimental `kd` as defined in Scoring And Calculations.\n10. methods.md contains the matched row's `name`, `author`, and `designMethod` strings as case-sensitive contiguous substrings. Omitting any of those three fails.\n11. methods.md contains the exact sentence `No new laboratory SPR was performed for this Submission.` including the period.\n\n### Scoring And Calculations\n\nCollect every object in `evaluations` with `\"type\"` equal to `\"experimental\"` and `\"metric\"` equal to `\"kd\"` whose `value` parses with Python 3 `float()` as a finite IEEE-754 binary64 number strictly greater than `0.0`. JSON numbers are already numbers; still pass them through Python `float()`. Ignore null, missing, JSON objects, arrays, booleans, and values for which `float()` raises `ValueError`, `TypeError`, or `OverflowError`. After a successful conversion, ignore the value if `math.isfinite` is false or it is not strictly greater than `0.0`.\n\nUse every one of those qualifying `kd` values from the one matched row. Do not omit any of them. Do not include `kd` values from any other row. The score is the geometric mean of that full set, in molar units, computed in binary64 as:\n\n`math.exp(sum(math.log(kd_i) for kd_i in kds) / len(kds))`\n\nLower is better. Do not convert to nanomolar. Do not use computational metrics such as `boltz2_iptm` to rank.\n\n### Missing, Invalid, And Conflicting Results\n\n- No matching sequence, or more than one matching sequence: invalid.\n- Not expressed, not binding, or no positive experimental `kd`: invalid.\n- Two matching rows: invalid.\n- Unavailable fetch of the listed CSV is an operational blocker, not `no_valid_submission`.\n\n### Evidence And Provenance\n\nThe trusted producer is the Proteinbase collection `adaptyv-x-muni-hackathon-ai-agents-vs-humans` identified by SHA-256 of the listed snapshot. Guardians link a candidate to measurements by exact `sequence` equality, then read experimental fields from `evaluations`. This bounty is historical analysis of that snapshot.\n\n## How is the winner selected?\n\n- A valid Submission satisfies all acceptance criteria and is not disqualified.\n- If multiple Submissions are valid, the Submission with the lowest geometric-mean `kd` wins. If `score_a == score_b` in binary64, treat them as tied and choose the Submission whose lowercase Solver address sorts first in ascending order.\n- If no Submission is valid, the outcome is `no_valid_submission`.\n\n## Disqualification Conditions\n\n- required artifacts are missing after successful retrieval and decryption;\n- an artifact is corrupt or cannot be inspected in its required format;\n- artifacts violate the package rules above or the stated Out Of Scope rules;\n- the Submission contains any filename other than `binder.fasta` and `methods.md`.\n\n## Out Of Scope\n\nNew wet-lab TREM2 assays, non-hackathon sequences, and computational-only scores without experimental `kd` are out of scope.\n\n### Allowed Resources And Reuse\n\nPublished hackathon designs, including human teams and named agent stacks such as `claude-sonnet-4-6-agents`, may be submitted. Disclose `name`, `author`, and `designMethod` in methods.md.\n\n## Guardian Verdict Instructions\n\nEach Guardian judges only submitted artifacts, this bounty page, and the listed CSV. Do not run SPR. Do not fetch unlisted Proteinbase files or CIF structure URLs inside the JSON.\n\n### Evaluation Procedure And Limits\n\n1. Fetch `trem2_hackathon.csv` and check its SHA-256.\n2. Open binder.fasta and methods.md.\n3. Apply Pass/Fail Checks. Stop after the first failing check.\n4. Compute the geometric mean from every qualifying experimental `kd` on that one matched row, omitting none of them. The table has 100 rows; do not use `kd` values from unmatched rows.\n5. Apply the winner rule.\n\nJudging is JSON-in-CSV lookup plus a geometric mean. 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