{"id":"W2036362152","doi":"10.1205/psep.05113","title":"Can We Predict Occupational Accident Frequency?","year":2006,"lang":"en","type":"article","venue":"Process Safety and Environmental Protection","topic":"Occupational Health and Safety Research","field":"Health Professions","cited_by":46,"is_retracted":false,"has_abstract":false,"ca_institutions":"Memorial University of Newfoundland","funders":"","keywords":"Expert opinion; Reliability (semiconductor); Quality (philosophy); Process (computing); Perspective (graphical); Accident (philosophy); Risk analysis (engineering); Work (physics); Occupational accident; Computer science; Operations research; Management science; Engineering; Occupational safety and health; Business; Occupational medicine; Artificial intelligence; Political science","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["sts"],"consensus_categories":[],"category_scores_codex":[0.0004491356,0.0001649309,0.0001636461,0.00009408403,0.001582557,0.000009665374,0.00008800514,0.0001975537,0.0006644014],"category_scores_gemma":[0.00004189159,0.0001517448,0.00003507895,0.0001389771,0.0001102131,0.0002491833,0.00006048181,0.0005757099,0.0001441421],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004048297,"about_ca_system_score_gemma":0.0001762446,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001392796,"about_ca_topic_score_gemma":0.0004675664,"domain_scores_codex":[0.9979835,0.0001993664,0.0005092103,0.000356215,0.0004870827,0.0004646589],"domain_scores_gemma":[0.9994009,0.0001138745,0.0001641439,0.0001334573,0.00002750841,0.0001600887],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.001786294,0.0002461985,0.9672682,0.0008670816,0.00002062924,0.00000401125,0.0005931525,0.001122934,0.0006203669,0.001438159,0.0001520942,0.02588089],"study_design_scores_gemma":[0.001135736,0.0001658509,0.9777943,0.0001187081,0.00001076971,0.00001010762,0.0005249008,0.00285648,0.00008988126,0.01344141,0.003644949,0.0002068753],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9076612,0.001691356,0.0341724,0.01917375,0.001122906,0.009812266,0.0008376265,0.0004474547,0.02508102],"genre_scores_gemma":[0.996785,0.0004812753,0.00009038762,0.000196006,0.0004520256,0.0007699968,0.0003692995,0.00002094835,0.0008350902],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.08912376,"threshold_uncertainty_score":0.9997172,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03371763969055006,"score_gpt":0.3533869083890812,"score_spread":0.3196692686985311,"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."}}