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Model-only evidence never establishes high confidence.", "blocking_report_ids": [ "arr:assessment:f53984f3-dadb-48c1-aa5a-853bb9e2d54f", "arr:assessment:3467c51c-9d0b-4cc8-a757-1045e1d59d3d" ], "material_objection_report_ids": [ "arr:assessment:f53984f3-dadb-48c1-aa5a-853bb9e2d54f", "arr:assessment:3467c51c-9d0b-4cc8-a757-1045e1d59d3d" ], "acceptance_determined": false, "stars": 3, "tier": "Acceptable" } }, { "paper_id": "ARR-2026-5QQF95VHTC9GABH8", "version_id": "arr:version:5b0e260a-0da2-4bb7-87ff-8247660c333d", "sha256": "17b2361721027649b8ef5b98440032b91b5b04e89e2a9535fcbe7a27954ac1c5", "editorial_status": "accepted", "rating": { "policy": "AIRR-RATING-1.0", "count": 2, "preserved_reports": 2, "score": 4.917213114754098, "unweighted_mean": 5.6, "minimum": 4.2, "maximum": 7.0, "weights": [ { "assessment_id": "arr:assessment:5c1785af-7187-46a1-b45e-dc418396e38e", "model": [ "OpenAI", "gpt-5.6-sol" ], "score": 7.0, "involvement": "not_involved_in_manuscript", "weight": 1.0, "matched": false, "reason": "No evidenced exact benchmark configuration" }, { "assessment_id": "arr:assessment:f307eca6-0de0-42f7-8511-ab940e3dc904", "model": [ "OpenAI", "gpt-6-astra" ], "score": 4.2, "involvement": "unknown", "weight": 2.904, "matched": true, "reason": "Exact evidenced model and effort", "benchmark_key": "gpt-6-astra_high", "accuracy": 0.976, "standard_error": 0.024, "run_id": "f46NQY9jSxyKqo9qzrmk6F" } ], "benchmark_matches": 1, "benchmark_snapshot": "epoch-frontiermath-tier4-v2-20260912", "benchmark_snapshot_sha256": "3821df03736d98b0e741e2ecf83f3dabbc94f81247d1b1d05982bbd78d3e57b1", "evidence_backing": "Limited", "evidence_reasons": [ "One provider; shared blind spots possible", "Fresh blinded review context not documented for every model", "Benchmark match incomplete", "Review scores differ by more than one point", "Adverse reports or unresolved objections require editorial disposition" ], "confidence_probability": null, "confidence_note": "Qualitative evidence description, not a calibrated probability or confidence interval. Model-only evidence never establishes high confidence.", "blocking_report_ids": [ "arr:assessment:f307eca6-0de0-42f7-8511-ab940e3dc904" ], "material_objection_report_ids": [], "acceptance_determined": false, "stars": 5, "tier": "Very good" } }, { "paper_id": "ARR-2026-7NPRNBW4488HG90K", "version_id": "arr:version:d1634ea9-8411-4c48-9cd9-a7231b1a5004", "sha256": "0f45a998063e687cc689b8e43c2887194c0937c8587c34b783a1631f8974776d", "editorial_status": "accepted", "rating": { "policy": "AIRR-RATING-1.0", "count": 1, "preserved_reports": 1, "score": 4.1, "unweighted_mean": 4.1, "minimum": 4.1, "maximum": 4.1, "weights": [ { "assessment_id": "arr:assessment:f8c91055-ae84-452e-8fe8-a781eb345964", "model": [ "OpenAI", "gpt-5.6-sol" ], "score": 4.1, "involvement": "not_involved_in_manuscript", "weight": 1.0, "matched": false, "reason": "No evidenced exact benchmark configuration" } ], "benchmark_matches": 0, "benchmark_snapshot": "epoch-frontiermath-tier4-v2-20260912", "benchmark_snapshot_sha256": "3821df03736d98b0e741e2ecf83f3dabbc94f81247d1b1d05982bbd78d3e57b1", "evidence_backing": "Limited", "evidence_reasons": [ "Only one distinct model", "One provider; shared blind spots possible", "Fresh blinded review context not documented for every model", "Benchmark match incomplete", "Adverse reports or unresolved objections require editorial disposition" ], "confidence_probability": null, "confidence_note": "Qualitative evidence description, not a calibrated probability or confidence interval. 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Model-only evidence never establishes high confidence.", "blocking_report_ids": [ "arr:assessment:e7f9b6ca-537e-4fbc-b435-d9ebef920390", "arr:assessment:09a23de9-396d-4097-a8e2-e994d90d7ef3" ], "material_objection_report_ids": [], "acceptance_determined": false, "stars": 3, "tier": "Acceptable" } }, { "paper_id": "ARR-2026-2MZWECWVEN97ARVQ", "version_id": "arr:version:6c745ad9-ca7b-4e2b-ad04-6e2ab157a127", "sha256": "ce0f5f606d51ba2c03676ddc66f361d64e3167e4133a041cd9b173049110ba38", "editorial_status": "accepted", "rating": { "policy": "AIRR-RATING-1.0", "count": 2, "preserved_reports": 2, "score": 3.389651639344262, "unweighted_mean": 3.4749999999999996, "minimum": 3.3, "maximum": 3.65, "weights": [ { "assessment_id": "arr:assessment:d9807059-7d4b-417e-a03d-3bebfe7ce505", "model": [ "OpenAI", "gpt-6-astra" ], "score": 3.3, "involvement": "unknown", "weight": 2.904, "matched": true, "reason": "Exact evidenced model and effort", "benchmark_key": "gpt-6-astra_high", "accuracy": 0.976, "standard_error": 0.024, "run_id": "f46NQY9jSxyKqo9qzrmk6F" }, { "assessment_id": "arr:assessment:70d0a8df-ac18-4cef-bc9e-babd1bfc395e", "model": [ "OpenAI", "gpt-5.6-sol" ], "score": 3.65, "involvement": "unknown", "weight": 1.0, "matched": false, "reason": "No evidenced exact benchmark configuration" } ], "benchmark_matches": 1, "benchmark_snapshot": "epoch-frontiermath-tier4-v2-20260912", "benchmark_snapshot_sha256": "3821df03736d98b0e741e2ecf83f3dabbc94f81247d1b1d05982bbd78d3e57b1", "evidence_backing": "Limited", "evidence_reasons": [ "One provider; shared blind spots possible", "Fresh blinded review context not documented for every model", "Benchmark match incomplete", "Adverse reports or unresolved objections require editorial disposition" ], "confidence_probability": null, "confidence_note": "Qualitative evidence description, not a calibrated probability or confidence interval. 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Model-only evidence never establishes high confidence.", "blocking_report_ids": [ "arr:assessment:61fea0a7-f11d-4c9d-a8e3-4f12287767ef", "arr:assessment:118a3dac-fee0-459f-921a-49b23b964d05", "arr:assessment:f59e4593-3de9-4b52-8230-a63f75e00a06" ], "material_objection_report_ids": [ "arr:assessment:f59e4593-3de9-4b52-8230-a63f75e00a06" ], "acceptance_determined": false, "stars": 4, "tier": "Strong" } }, { "paper_id": "ARR-2026-66Q8M61AA196T8BC", "version_id": "arr:version:a2e87f78-a6a8-4ea0-aec0-35765b7314f1", "sha256": "bc38ace5861ded29f0bf943e8825dac5d785a59f1ffbbaa917a7a154d02f2d7d", "editorial_status": "corrected", "rating": { "policy": "AIRR-RATING-1.0", "count": 2, "preserved_reports": 2, "score": 3.416495901639344, "unweighted_mean": 3.575, "minimum": 3.25, "maximum": 3.9, "weights": [ { "assessment_id": "arr:assessment:1b7805dd-d916-4790-bd68-dcdfa01dc289", "model": [ "OpenAI", "gpt-6-astra" ], "score": 3.25, "involvement": "unknown", "weight": 2.904, "matched": true, "reason": "Exact evidenced model and effort", "benchmark_key": "gpt-6-astra_high", "accuracy": 0.976, "standard_error": 0.024, "run_id": "f46NQY9jSxyKqo9qzrmk6F" }, { "assessment_id": "arr:assessment:fd72b8a6-d4fa-41cc-8b98-7f8b2d664010", "model": [ "OpenAI", "gpt-5.6-sol" ], "score": 3.9, "involvement": "unknown", "weight": 1.0, "matched": false, "reason": "No evidenced exact benchmark configuration" } ], "benchmark_matches": 1, "benchmark_snapshot": "epoch-frontiermath-tier4-v2-20260912", "benchmark_snapshot_sha256": "3821df03736d98b0e741e2ecf83f3dabbc94f81247d1b1d05982bbd78d3e57b1", "evidence_backing": "Limited", "evidence_reasons": [ "One provider; shared blind spots possible", "Fresh blinded review context not documented for every model", "Benchmark match incomplete", "Adverse reports or unresolved objections require editorial disposition" ], "confidence_probability": null, "confidence_note": "Qualitative evidence description, not a calibrated probability or confidence interval. 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