{"id":"W7000875126","doi":"","title":"How the Canadian Electric (CE) Code has Evolved to Address Clean Energy Technologies","year":2018,"lang":"en","type":"other","venue":"","topic":"History, Culture, and Society","field":"Health Professions","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Code (set theory); Clean energy; Energy (signal processing); Electric energy; Clean technology","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":"codex-gemma-dda1882f352a","candidate_categories":["sts","research_integrity","insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.0002544996,0.0003513995,0.0004115411,0.0002860863,0.002221037,0.00005169546,0.000900308,0.001914129,0.006821426],"category_scores_gemma":[0.0002601983,0.0002167604,0.00013191,0.000479101,0.0002553323,0.00002488271,0.00006968186,0.0008870398,0.001194157],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001057643,"about_ca_system_score_gemma":0.002247354,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.5057034,"about_ca_topic_score_gemma":0.9928375,"domain_scores_codex":[0.9978303,0.0002276962,0.0002170989,0.0004710065,0.0002796945,0.0009741542],"domain_scores_gemma":[0.9982941,0.00008220599,0.0001854958,0.0009437295,0.0001574059,0.0003370372],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.000002588194,0.000007002006,0.00004571309,0.00003462059,0.00005893722,0.000002498166,0.001897293,3.874635e-8,0.00000723746,0.004895812,0.9910235,0.002024772],"study_design_scores_gemma":[0.000145448,0.00004166955,0.00002439543,0.000120305,0.00002881981,4.631525e-7,0.01055017,0.000005478246,0.00002557961,0.00009717196,0.9886537,0.000306832],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.000003621093,0.0009243082,0.0004096191,0.01122137,0.001185947,0.0008339794,0.00009082284,0.001103858,0.9842265],"genre_scores_gemma":[0.0027299,0.0001874221,0.0004566427,0.006480652,0.0009350706,0.000251645,0.00004729188,0.0003308632,0.9885805],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.4871341,"threshold_uncertainty_score":0.9995835,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06599233514368862,"score_gpt":0.3259650493292541,"score_spread":0.2599727141855654,"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."}}