{"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":"codex-gemma-dda1882f352a","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.00003091891,0.0001915281,0.0001875485,0.0001421351,0.00001529107,0.00001906717,0.00005145323,0.0002644715,0.004459279],"category_scores_gemma":[0.000006104989,0.0001962625,0.0001070109,0.00009062944,0.000009428468,0.00003326988,0.000001816177,0.00007563107,0.00002119311],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003206965,"about_ca_system_score_gemma":0.00001898066,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000015491,"about_ca_topic_score_gemma":0.00004852279,"domain_scores_codex":[0.9994048,0.000002907293,0.0001658261,0.0001453877,0.00009552118,0.0001855072],"domain_scores_gemma":[0.9997839,0.00002460718,0.00001557296,0.0001054911,0.00002165264,0.00004877861],"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":[0.000036576,0.00008644889,0.00001820512,0.001486865,0.0006323967,0.000003818216,0.0002818824,0.001838468,0.008961951,0.009791942,0.9664897,0.0103717],"study_design_scores_gemma":[0.0003261957,0.00005586948,0.00006962678,0.0001395125,0.0000297722,5.026998e-7,0.000009925891,0.00280483,0.001499189,0.00004181859,0.9947418,0.0002809566],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.00005414733,0.00130048,0.202991,0.00002980589,0.0009149787,0.0003702154,0.0001014148,0.0003573262,0.7938806],"genre_scores_gemma":[0.209964,0.007742346,0.01132583,0.0004184833,0.00123743,0.0005194829,0.00551456,0.003796259,0.7594816],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.2099099,"threshold_uncertainty_score":0.9964508,"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."}}