{"id":"W2172031798","doi":"10.1016/j.jsr.2009.05.001","title":"Work environment risk factors for injuries in wood processing","year":2009,"lang":"en","type":"article","venue":"Journal of Safety Research","topic":"Occupational Health and Safety Research","field":"Health Professions","cited_by":53,"is_retracted":false,"has_abstract":false,"ca_institutions":"Jewish General Hospital","funders":"National Institute for Occupational Safety and Health; University of Massachusetts","keywords":"Occupational safety and health; Human factors and ergonomics; Workload; Injury prevention; Poison control; Seniority; Suicide prevention; Workers' compensation; Generalizability theory; Work (physics); Back injury; Engineering; Occupational medicine; Occupational injury; Environmental health; Forensic engineering; Operations management; Medicine; Compensation (psychology); Psychology; Computer science; Social psychology","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","research_integrity"],"consensus_categories":[],"category_scores_codex":[0.01276871,0.0001398361,0.0004241659,0.0007185067,0.00136358,0.00002091883,0.0004123995,0.0002367284,0.000273109],"category_scores_gemma":[0.002848095,0.0001043848,0.0001206149,0.000772218,0.0001260296,0.0003135835,0.00008329962,0.003045294,0.00006059995],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000885134,"about_ca_system_score_gemma":0.00165878,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00004691424,"about_ca_topic_score_gemma":0.00002015437,"domain_scores_codex":[0.9942793,0.001464527,0.001342505,0.0002165381,0.001527734,0.001169378],"domain_scores_gemma":[0.9933277,0.004797011,0.0004532421,0.0002118681,0.0007717319,0.0004384581],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.01626811,0.0008253679,0.6907259,0.0004105467,0.00003121223,0.00001717542,0.007205704,0.0004001243,0.0001205228,0.0008606542,0.004763577,0.2783712],"study_design_scores_gemma":[0.001984426,0.00186025,0.9561068,0.0005733341,0.000005872321,0.000001211469,0.003035819,0.0001307906,0.00003765401,0.005039981,0.03110865,0.0001151619],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9792522,0.001641089,0.00125069,0.01205119,0.0002594708,0.002154368,0.00005523923,0.00001289195,0.003322811],"genre_scores_gemma":[0.9946206,0.001859776,0.001961939,0.0001133734,0.0005924933,0.00004476904,0.000009736365,0.00002009457,0.0007772357],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.278256,"threshold_uncertainty_score":0.9999365,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1673067162066818,"score_gpt":0.527479800880567,"score_spread":0.3601730846738852,"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."}}