{"id":"W4385275335","doi":"10.1016/j.ssci.2023.106267","title":"Risk mitigation strategies for automated current and future mine hoists","year":2023,"lang":"en","type":"article","venue":"Safety Science","topic":"Occupational Health and Safety Research","field":"Health Professions","cited_by":8,"is_retracted":false,"has_abstract":false,"ca_institutions":"Institut de recherche Robert-Sauvé en santé et en sécurité du travail","funders":"Institut de Recherche Robert-Sauvé en Santé et en Sécurité du Travail; Institut de recherche Robert-Sauve","keywords":"Hoist (device); Shaft mining; Engineering; Fault tree analysis; Mine safety; Crash; Forensic engineering; Coal mining; Risk analysis (engineering); Transport engineering; Mining engineering; Reliability engineering; Computer science; Waste management; Mechanical engineering","routes":{"ca_aff":true,"ca_fund":true,"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":[0.00253605,0.001155737,0.0004894417,0.001703352,0.001880177,0.003278497,0.002901534,0.001829312,0.008613479],"category_scores_gemma":[0.006136664,0.0004593817,0.0006946076,0.0004650351,0.0004713264,0.003304495,0.002848889,0.001060495,0.001720076],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00142547,"about_ca_system_score_gemma":0.003120378,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.009364508,"about_ca_topic_score_gemma":0.01596645,"domain_scores_codex":[0.9987611,0.0002624149,0.00004852231,0.0002091753,0.0004918099,0.0002269646],"domain_scores_gemma":[0.9965416,0.0008954574,0.0005250595,0.0003899536,0.001454312,0.0001936291],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"observational","study_design_scores_codex":[0.0008642865,0.001279958,0.05158922,0.0005366771,0.0001975352,0.0004319743,0.003025829,0.1364994,0.02049652,0.03787824,0.0200637,0.7271367],"study_design_scores_gemma":[0.0001766177,0.001760466,0.04821178,0.0007553984,0.0005059307,0.0007322488,0.01479273,0.7175187,0.03139305,0.07682802,0.1070928,0.0002321698],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.2983031,0.002281517,0.5846444,0.007678503,0.0004059339,0.001255697,0.0008083152,0.003544663,0.1010779],"genre_scores_gemma":[0.8661698,0.0005419832,0.1160254,0.0002673635,0.00006825447,0.0002087195,0.00045616,0.00009609355,0.01616616],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.009364508,"threshold_uncertainty_score":0.02881491,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06331367594556758,"score_gpt":0.4957367213229321,"score_spread":0.4324230453773645,"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."}}