{"id":"W3215149681","doi":"10.1002/9781119800194.ch1","title":"Liquid Insulation for Power Transformers","year":2021,"lang":"en","type":"other","venue":"","topic":"Power Transformer Diagnostics and Insulation","field":"Engineering","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"Hydro-Québec; Université du Québec à Chicoutimi","funders":"","keywords":"Transformer; Brainstorming; Engineering; Electrical engineering; Mechanical engineering; Process engineering; Materials science; Computer science; Artificial intelligence; Voltage","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":[0.0001909276,0.0006966037,0.0003270872,0.0008042672,0.0007329865,0.002022181,0.0004355185,0.001055525,0.02745434],"category_scores_gemma":[0.0005024732,0.0001766609,0.0002593431,0.0009652706,0.0006049135,0.002571372,0.001202285,0.001380927,0.01213125],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000727097,"about_ca_system_score_gemma":0.0004957112,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0004980884,"about_ca_topic_score_gemma":0.001231275,"domain_scores_codex":[0.999726,0.00004079861,0.00001241022,0.00003263469,0.0001635168,0.00002464065],"domain_scores_gemma":[0.9998927,0.00003543296,0.00001292388,0.00001238813,0.00003467166,0.00001188072],"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":[0.00005675241,0.00006833848,0.0001748651,0.001343211,0.000008930133,0.0004500505,0.0004134613,0.001697984,0.01178621,0.2956586,0.1700799,0.5182617],"study_design_scores_gemma":[0.000002033188,0.00002566385,0.00009738416,0.000339677,0.000002996478,0.0004771119,0.0001017262,0.0003574245,0.001833991,0.02270574,0.9740499,0.00000639198],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.004822858,0.2318524,0.03745238,0.005519042,0.005741509,0.0000741247,0.000199733,0.0007134583,0.7136245],"genre_scores_gemma":[0.06428959,0.2408568,0.02571009,0.002496861,0.003675278,0.0000896267,0.0004543189,0.000539032,0.6618884],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.02745434,"threshold_uncertainty_score":0.09184396,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.009480922274084551,"score_gpt":0.2215663918283303,"score_spread":0.2120854695542458,"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."}}