{"id":"W2078911555","doi":"10.1016/j.jsr.2007.03.011","title":"Analysis of fatalities and injuries involving mining equipment","year":2007,"lang":"en","type":"article","venue":"Journal of Safety Research","topic":"Occupational Health and Safety Research","field":"Health Professions","cited_by":161,"is_retracted":false,"has_abstract":false,"ca_institutions":"Hydro-Québec; Université du Québec à Trois-Rivières","funders":"","keywords":"Occupational safety and health; Haulage; Poison control; Injury prevention; Surface mining; Human factors and ergonomics; Forensic engineering; Environmental health; Engineering; Population; Hazard; Suicide prevention; Medical emergency; Transport engineering; Medicine; Coal mining; Waste management","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":["metaresearch"],"consensus_categories":[],"category_scores_codex":[0.02991231,0.0001001773,0.0005687832,0.00222344,0.0008913103,0.00001294835,0.0002879056,0.000157968,0.0004291922],"category_scores_gemma":[0.002860192,0.00007893373,0.0001322461,0.001954033,0.0003489798,0.000260757,0.000307327,0.001327708,0.000008135768],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003576491,"about_ca_system_score_gemma":0.001253356,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003256074,"about_ca_topic_score_gemma":0.0004199325,"domain_scores_codex":[0.994321,0.00105647,0.001678575,0.0001555709,0.001930478,0.0008579306],"domain_scores_gemma":[0.9868944,0.009338264,0.0005028046,0.000214992,0.00260044,0.0004491534],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.003297999,0.0001139283,0.9525599,0.0005931846,0.0005565241,0.00002395098,0.009971902,0.00002855811,0.0005952811,0.00494048,0.0005671247,0.02675113],"study_design_scores_gemma":[0.0007229777,0.0006203214,0.965055,0.0003968709,0.00007274291,0.000002921646,0.02725699,0.0002121434,0.00011996,0.0006134462,0.004849924,0.00007664091],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.98821,0.00243061,0.0004840699,0.001726365,0.0001883614,0.0003481587,0.00003914114,0.000005502923,0.006567816],"genre_scores_gemma":[0.995451,0.00191116,0.001456411,0.0000884451,0.0002989642,0.000005533814,0.000009834854,0.0000125339,0.0007661319],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02705212,"threshold_uncertainty_score":0.9989094,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.2269129743772239,"score_gpt":0.5697414503222268,"score_spread":0.3428284759450029,"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."}}