{"id":"W1873130404","doi":"10.1109/pcicon.1999.806429","title":"Cold weather effects on Class 1 hazardous electrical installations","year":2003,"lang":"en","type":"article","venue":"","topic":"Electrical Fault Detection and Protection","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"Canadian Nuclear Laboratories","funders":"","keywords":"Hazardous waste; Electrical equipment; Cold weather; Petroleum; Environmental science; Cold climate; Electronic equipment; Engineering; Waste management; Meteorology; Electrical engineering; Geology; Geography","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true,"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":[0.000272886,0.0002643306,0.0002712418,0.0004674408,0.0005499431,0.0003502278,0.0002299485,0.0003051699,0.004249176],"category_scores_gemma":[0.002459383,0.0001756169,0.0002417497,0.0003119555,0.0003750699,0.0004105633,0.0004433976,0.0003527716,0.0005788874],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002758732,"about_ca_system_score_gemma":0.00008581854,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00235568,"about_ca_topic_score_gemma":0.002342699,"domain_scores_codex":[0.9996326,0.00007725076,0.000019253,0.00006595771,0.0001116428,0.00009324728],"domain_scores_gemma":[0.9969159,0.001244326,0.000625395,0.000311844,0.0006961977,0.0002063871],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","study_design_scores_codex":[0.01178335,0.0003266624,0.264205,0.0008019896,0.0002783198,0.003614459,0.002086625,0.08775572,0.4771861,0.001190668,0.003925273,0.146846],"study_design_scores_gemma":[0.00007608027,0.002967463,0.7141815,0.000072599,0.0004684466,0.002189762,0.00149434,0.008734734,0.2597236,0.000786837,0.009210236,0.00009446236],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9942712,0.0002868022,0.001906593,0.00003458649,0.00003763232,0.00001269128,0.0001817828,0.0001287893,0.003139935],"genre_scores_gemma":[0.9984719,0.0001211949,0.0002316447,0.00001854623,0.00001249021,0.00000278006,0.0001539571,0.00002972535,0.0009576812],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.004249176,"threshold_uncertainty_score":0.01421493,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.00540812058760738,"score_gpt":0.2035386661361476,"score_spread":0.1981305455485403,"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."}}