{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.003811518,0.001105696,0.0009265473,0.002525371,0.0007432583,0.002526732,0.001089895,0.001142528,0.01868754],"category_scores_gemma":[0.01379586,0.0003606588,0.0007933702,0.001565637,0.0004099923,0.002031917,0.001422929,0.001755438,0.005219356],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002159542,"about_ca_system_score_gemma":0.004617076,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01930644,"about_ca_topic_score_gemma":0.02796553,"domain_scores_codex":[0.9981012,0.0007594299,0.00008685954,0.0003759329,0.0004869644,0.000189659],"domain_scores_gemma":[0.9954479,0.00238284,0.0003966528,0.000251346,0.001280886,0.0002402804],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0007115466,0.001065984,0.008675772,0.000460874,0.0001550792,0.00009624396,0.00009574521,0.1571246,0.003143622,0.005973645,0.06783246,0.7546644],"study_design_scores_gemma":[0.0001368316,0.0003569849,0.003409754,0.0001433358,0.00008908559,0.00003614436,0.0001257092,0.9500584,0.00537197,0.01634463,0.02388368,0.00004356815],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.1315064,0.008140023,0.6937617,0.02524396,0.001792237,0.001434239,0.009026999,0.01942648,0.109668],"genre_scores_gemma":[0.7292709,0.002571867,0.2235543,0.003355149,0.0006930091,0.0005380966,0.007835908,0.0005759873,0.0316048],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.01930644,"threshold_uncertainty_score":0.06251609,"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."}}