{"id":"W2992298318","doi":"","title":"Maintaining Mobile Equipment: Controlling Hazardous Energy","year":2017,"lang":"en","type":"article","venue":"PolyPublie (École Polytechnique de Montréal)","topic":"Chemical Safety and Risk Management","field":"Chemical Engineering","cited_by":1,"is_retracted":false,"has_abstract":false,"ca_institutions":"Université de Montréal; Polytechnique Montréal; Institut de recherche Robert-Sauvé en santé et en sécurité du travail","funders":"","keywords":"Hazardous waste; Energy (signal processing); Business; Transport engineering; Environmental science; Computer science; Engineering; 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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001935417,0.000764619,0.0001783283,0.0006379222,0.001059603,0.001151942,0.001146283,0.0007215146,0.00463602],"category_scores_gemma":[0.0003576214,0.0001515448,0.0001632561,0.0005426728,0.0005192818,0.0006984184,0.000690003,0.0003943677,0.0008680563],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001697765,"about_ca_system_score_gemma":0.002648269,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.1235057,"about_ca_topic_score_gemma":0.2462842,"domain_scores_codex":[0.9997414,0.00001446832,0.000004063187,0.00003904647,0.0001486855,0.0000523034],"domain_scores_gemma":[0.9997934,0.0000266528,0.00005549392,0.00001568643,0.00006980134,0.00003899142],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0002917147,0.0002859108,0.02530864,0.0004869498,0.00004062261,0.001052235,0.0005989819,0.0190009,0.1711287,0.01012233,0.009810402,0.7618725],"study_design_scores_gemma":[0.0001274105,0.003568706,0.2101182,0.0006328639,0.0003055455,0.002912072,0.003384189,0.140845,0.3084843,0.009348913,0.3200753,0.0001975186],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"methods","genre_scores_codex":[0.6813489,0.009513906,0.2255165,0.002755392,0.0003040106,0.0003744705,0.0005549468,0.002113021,0.07751881],"genre_scores_gemma":[0.9190814,0.003011483,0.02932433,0.0002218845,0.0000703562,0.00006199487,0.0002691083,0.00009761118,0.0478618],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.1235057,"threshold_uncertainty_score":0.2455736,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.00867445605095007,"score_gpt":0.2270005965265444,"score_spread":0.2183261404755944,"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."}}