{"id":"W3025953019","doi":"10.31873/ijetr.9.12.41","title":"Electric Power Industry Accident Prevention in Canada","year":2019,"lang":"en","type":"article","venue":"International Journal of Engineering and Technical Research (IJETR)","topic":"Risk and Safety Analysis","field":"Decision Sciences","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Accident (philosophy); Electric power industry; Electric power; Business; Power (physics); Engineering; Electrical engineering; Electricity; Physics","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":[0.001439198,0.0002380632,0.000233139,0.00107116,0.007697723,0.001476377,0.001237574,0.0005000324,0.004870663],"category_scores_gemma":[0.003381268,0.0002426566,0.000301131,0.002125322,0.0007919318,0.0003251766,0.001240169,0.0007574128,0.0002856467],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.06752434,"about_ca_system_score_gemma":0.1994478,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9948079,"about_ca_topic_score_gemma":0.9978648,"domain_scores_codex":[0.9981482,0.0002814583,0.00005523769,0.0001198579,0.0007433685,0.0006519757],"domain_scores_gemma":[0.9957837,0.0002545763,0.0002011749,0.00004917484,0.002611335,0.001100109],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0009904786,0.00234341,0.4728555,0.001535414,0.0001591594,0.002025018,0.0315607,0.00464041,0.002850464,0.01380766,0.0730065,0.3942253],"study_design_scores_gemma":[0.0001493429,0.0007476066,0.7993522,0.0007768357,0.0001189233,0.0004110948,0.07768739,0.003187585,0.001482266,0.001205622,0.114752,0.0001290812],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9040598,0.004241107,0.001712022,0.008741126,0.000167018,0.001308287,0.00135891,0.00007106162,0.07834056],"genre_scores_gemma":[0.9721183,0.003827627,0.002311206,0.001064199,0.00001939227,0.0002218465,0.0005520362,0.000009038132,0.01987638],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.06752434,"threshold_uncertainty_score":0.4899257,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05972807043167997,"score_gpt":0.4205055908248415,"score_spread":0.3607775203931615,"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."}}