{"id":"W2617392673","doi":"10.3386/w21129","title":"Productivity, Safety, and Regulation in Underground Coal Mining: Evidence from Disasters and Fatalities","year":2015,"lang":"en","type":"preprint","venue":"National Bureau of Economic Research","topic":"Occupational Health and Safety Research","field":"Health Professions","cited_by":28,"is_retracted":false,"has_abstract":true,"ca_institutions":"HEC Montréal","funders":"Science Foundation Arizona","keywords":"Coal mining; Productivity; Mining engineering; Environmental science; Coal; Natural resource economics; Business; Forensic engineering; Engineering; Waste management; Economics; Economic growth","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":[0.01112767,0.0002039406,0.0005394982,0.000760561,0.0003728793,0.00004863782,0.0003224114,0.0004980288,0.0001510106],"category_scores_gemma":[0.003940501,0.0002109447,0.0000356832,0.0001444995,0.0005967412,0.0004383485,0.001492208,0.001621344,0.00003635239],"about_ca_system_candidate":true,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001847048,"about_ca_system_score_gemma":0.006297455,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01483494,"about_ca_topic_score_gemma":0.0075935,"domain_scores_codex":[0.9945458,0.001862425,0.001041139,0.0008082682,0.001173328,0.0005690186],"domain_scores_gemma":[0.987208,0.01073778,0.0003316967,0.000355898,0.001091564,0.0002750561],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.004995582,0.0001485257,0.8274108,0.003474895,0.0001281045,0.000003824996,0.00838079,0.003182902,0.00005641645,0.1399151,0.007458753,0.004844283],"study_design_scores_gemma":[0.0008985387,0.0001022917,0.4521358,0.001250032,0.000005046957,0.000001142139,0.001651539,0.005098978,0.000006918796,0.5381718,0.0005064204,0.0001715165],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9581026,0.0023115,0.00003927833,0.01208296,0.0005385678,0.002658795,0.0005147604,0.00001729354,0.02373428],"genre_scores_gemma":[0.9946001,0.001203481,0.0004421889,0.00002779742,0.0006790386,0.0002694979,0.000730201,0.00002638121,0.002021326],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3982566,"threshold_uncertainty_score":0.9993359,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.6079553624727594,"score_gpt":0.6137558395816587,"score_spread":0.005800477108899305,"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."}}