{"id":"W6888837659","doi":"10.23645/epacomptox.27629286","title":"Machine Learning for Enhancing Regulatory Prioritization of Workplace Chemicals","year":2024,"lang":"en","type":"other","venue":"U.S. Environmental Protection Agency","topic":"","field":"","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Prioritization; Presentation (obstetrics); Work (physics)","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.0004064687,0.0004618337,0.0004449808,0.0004274569,0.00008144537,0.00002373539,0.0001584063,0.0005321022,0.007258787],"category_scores_gemma":[0.00006779164,0.0005140749,0.0002435028,0.000198332,0.0001351011,0.00008234301,0.0001115733,0.0005632088,0.003637198],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005817721,"about_ca_system_score_gemma":0.0000229887,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00006217684,"about_ca_topic_score_gemma":0.00003166416,"domain_scores_codex":[0.9977535,0.0001125868,0.0005633218,0.0007734212,0.0004717722,0.0003253822],"domain_scores_gemma":[0.9988531,0.00001797178,0.0006614673,0.0003756522,0.00000504431,0.0000867856],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0001043693,0.000195671,0.00008146968,0.001692541,0.0002438891,0.000003286294,0.0002636933,0.000183901,0.9549247,0.00004728391,0.03207368,0.0101855],"study_design_scores_gemma":[0.0009378942,0.000245982,0.0001569195,0.001495688,0.0003142848,0.0000214638,0.00008274497,0.001781619,0.1600655,0.0006159549,0.8332879,0.0009940166],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.005902368,0.09633477,0.1888024,0.0001559461,0.005155633,0.03650545,0.003133483,0.007545096,0.6564649],"genre_scores_gemma":[0.1405571,0.0003967569,0.001374385,0.000009968867,0.0005615758,0.0007428783,0.0005622638,0.002542189,0.8532529],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.8012142,"threshold_uncertainty_score":0.9997311,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.009940064670070263,"score_gpt":0.2267521002123779,"score_spread":0.2168120355423076,"validation_status":"score_only:v0-immature-baseline","note":"Baseline scores from an immature model (maturity gate not passed). Scores rank; they never assert a category."}}