{"id":"W1976087993","doi":"10.1016/j.ssci.2007.01.012","title":"Injuries in U.S. mining operations – A preliminary risk analysis","year":2007,"lang":"en","type":"article","venue":"Safety Science","topic":"Occupational Health and Safety Research","field":"Health Professions","cited_by":78,"is_retracted":false,"has_abstract":false,"ca_institutions":"Hydro-Québec; Université du Québec à Trois-Rivières","funders":"","keywords":"Occupational safety and health; Injury prevention; Poison control; Incidence (geometry); Suicide prevention; Environmental health; Human factors and ergonomics; Risk assessment; Medicine; Medical emergency; Forensic engineering; Engineering; Risk analysis (engineering); Computer security; Computer science; Pathology","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":[0.001353462,0.000589572,0.0002524333,0.002590105,0.0005286497,0.0006141203,0.0007610436,0.0006508987,0.003062441],"category_scores_gemma":[0.005391444,0.0002778895,0.001329095,0.001799631,0.0002499941,0.0006226253,0.0009995388,0.0004777354,0.0003227862],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001131187,"about_ca_system_score_gemma":0.001325917,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0469375,"about_ca_topic_score_gemma":0.08682798,"domain_scores_codex":[0.9988696,0.0004014726,0.000119132,0.0001303335,0.000360157,0.0001193395],"domain_scores_gemma":[0.9962108,0.001504149,0.0009993799,0.0001594341,0.0008943205,0.0002319566],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0007714572,0.0004670344,0.9814735,0.00004932579,0.0003126317,0.0001795132,0.0002819556,0.004526939,0.0002636693,0.0003361093,0.001102349,0.01023553],"study_design_scores_gemma":[0.00003348007,0.0009229394,0.9869139,0.00003089934,0.0002492715,0.000212354,0.00145113,0.008943649,0.0002629863,0.0004319616,0.0005336126,0.0000138511],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9967179,0.000217234,0.0006115811,0.0002297751,0.000005443536,0.00008263047,0.001218848,0.000008987122,0.0009076485],"genre_scores_gemma":[0.9962805,0.0003595073,0.0007508326,0.00005271526,0.00001420397,0.00005689913,0.00175149,0.000003213576,0.0007306547],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0469375,"threshold_uncertainty_score":0.0933286,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05072718687490715,"score_gpt":0.4835235981150253,"score_spread":0.4327964112401181,"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."}}