{"id":"W2081169470","doi":"10.1016/j.ssci.2014.01.005","title":"Investigation of haul truck-related fatal accidents in surface mining using fault tree analysis","year":2014,"lang":"en","type":"article","venue":"Safety Science","topic":"Occupational Health and Safety Research","field":"Health Professions","cited_by":82,"is_retracted":false,"has_abstract":false,"ca_institutions":"Hydro-Québec","funders":"","keywords":"Haulage; Truck; Fault tree analysis; Surface mining; Forensic engineering; Transport engineering; Coal mining; Engineering; Coal; Waste management; Automotive engineering; Structural engineering; Reliability engineering","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":[],"consensus_categories":[],"category_scores_codex":[0.005993368,0.0001112256,0.0003266759,0.0006520099,0.0008258044,0.000009560271,0.0004497173,0.0001312445,0.000146619],"category_scores_gemma":[0.001722529,0.000102104,0.00006072509,0.005696188,0.0004252734,0.0005090499,0.0001725931,0.0003914785,0.0000447834],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003622191,"about_ca_system_score_gemma":0.001432347,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002817071,"about_ca_topic_score_gemma":0.00199432,"domain_scores_codex":[0.9963876,0.0006258325,0.0009258731,0.0004075829,0.0009818508,0.0006712768],"domain_scores_gemma":[0.997549,0.001079954,0.0003483613,0.0003529604,0.0003809719,0.0002887734],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00007326341,0.000008654858,0.9840569,0.00005022325,0.000009098648,5.223167e-7,0.002168684,0.006785411,0.003657306,0.0007348167,0.000004576599,0.002450478],"study_design_scores_gemma":[0.0004903559,0.00003199236,0.8076535,0.0001024584,0.00001515907,2.916472e-7,0.0006057924,0.1903751,0.0002305591,0.0003956529,0.00002165133,0.00007739524],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9943244,0.00002306307,0.001301531,0.0005974412,0.0002504856,0.0004277572,0.00001664526,0.00002069626,0.003038024],"genre_scores_gemma":[0.9963224,0.00001017101,0.003354739,0.0001158351,0.00002727113,0.000005977589,0.00002980609,0.000007339449,0.0001264842],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1835897,"threshold_uncertainty_score":0.6351503,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.09585409777268991,"score_gpt":0.4547136633355426,"score_spread":0.3588595655628527,"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."}}