{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.003675817,0.001055195,0.001274539,0.002848902,0.0008158183,0.002475385,0.001292457,0.00324159,0.004612776],"category_scores_gemma":[0.03800292,0.0007317519,0.001390168,0.002301378,0.0007681458,0.004260374,0.0006581186,0.001976114,0.00282656],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004756323,"about_ca_system_score_gemma":0.001107212,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01279544,"about_ca_topic_score_gemma":0.01641244,"domain_scores_codex":[0.9989161,0.0004316809,0.000126138,0.0001881959,0.0001892131,0.0001486083],"domain_scores_gemma":[0.9782217,0.01427447,0.002529692,0.001405366,0.002448518,0.001120226],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001198232,0.0002575456,0.9778145,0.00004162942,0.0001767871,0.00005135059,0.00006306125,0.00210758,0.00008957811,0.000195111,0.002015812,0.01706722],"study_design_scores_gemma":[0.00006189723,0.000560492,0.9101751,0.0001908312,0.0008350312,0.0005758438,0.001500379,0.06796469,0.0006734016,0.01247557,0.004892063,0.00009461506],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9560908,0.005243098,0.01538999,0.01330352,0.00119598,0.00005963397,0.00407508,0.0003022312,0.004339668],"genre_scores_gemma":[0.9895242,0.002135443,0.003515628,0.0005835172,0.0006562572,0.00004029618,0.001949659,0.00003457718,0.00156047],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01279544,"threshold_uncertainty_score":0.02544194,"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."}}