{"id":"W2480465998","doi":"10.1201/9781439833391.ch37","title":"Controlling personnel heat exposure in Canada’s deep and highly mechanized mines","year":2006,"lang":"en","type":"book-chapter","venue":"","topic":"Coal Properties and Utilization","field":"Engineering","cited_by":2,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Mining engineering; Forensic engineering; Environmental science; Engineering; Aeronautics","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002023848,0.000317908,0.0002182021,0.0002724184,0.0009155841,0.0008751183,0.0006657782,0.0002525631,0.001172348],"category_scores_gemma":[0.0002672794,0.0001534614,0.0001081432,0.0004037003,0.0004455443,0.0001962158,0.0003638054,0.0003579719,0.0001767],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003963486,"about_ca_system_score_gemma":0.00644875,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.6795211,"about_ca_topic_score_gemma":0.8667042,"domain_scores_codex":[0.9998011,0.000006931097,0.00000236874,0.00001591032,0.0001249832,0.00004864079],"domain_scores_gemma":[0.9999175,0.00001493796,0.000007604891,0.000004677996,0.00004240515,0.00001286359],"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":[0.0001992648,0.0002538821,0.01686974,0.0002611926,0.00002955613,0.0002506879,0.00236702,0.05039066,0.1454076,0.01039152,0.02645254,0.7471264],"study_design_scores_gemma":[0.00005294659,0.0005801452,0.207448,0.0002799976,0.0001029301,0.0003765243,0.005339347,0.1014191,0.2860243,0.01141705,0.3867949,0.0001646649],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6577,0.01539581,0.104048,0.002650183,0.0003508232,0.0002516983,0.0005276536,0.001054152,0.2180218],"genre_scores_gemma":[0.8680424,0.004341596,0.0168981,0.0002420746,0.00002454939,0.00004055915,0.0001377617,0.0001145689,0.1101584],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3204789,"threshold_uncertainty_score":0.6447324,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.007588575422980472,"score_gpt":0.14652539395528,"score_spread":0.1389368185322995,"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."}}