{"id":"W4312186407","doi":"10.3390/en16010061","title":"Natural Esters for Green Transformers: Challenges and Keys for Improved Serviceability","year":2022,"lang":"en","type":"article","venue":"Energies","topic":"Power Transformer Diagnostics and Insulation","field":"Engineering","cited_by":74,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université du Québec à Chicoutimi","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Mineral oil; Serviceability (structure); Renewable energy; Transformer; Environmentally friendly; Engineering; Biochemical engineering; Architectural engineering; Waste management; Environmental science; Chemistry; Electrical engineering; Civil engineering; Voltage; Organic chemistry; Ecology","routes":{"ca_aff":true,"ca_fund":true,"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":[],"consensus_categories":[],"category_scores_codex":[0.0001029315,0.0001016186,0.0001135589,0.00004075041,0.0001109778,0.00001267261,0.00006487976,0.00002608575,0.000004866332],"category_scores_gemma":[0.000006335719,0.0001040462,0.00005476625,0.00003325155,0.00001449675,0.0001391771,0.000009300358,0.00005909506,1.077914e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003445907,"about_ca_system_score_gemma":0.000007404277,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00002462176,"about_ca_topic_score_gemma":0.0001088397,"domain_scores_codex":[0.9995179,0.00000635069,0.0001197869,0.0001320369,0.00005090929,0.0001730446],"domain_scores_gemma":[0.9997406,0.0001291673,0.00001053332,0.00007056897,0.00002098706,0.00002813975],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0004132655,0.0001429835,0.0001761362,0.003205201,0.0004599566,8.491104e-7,0.01815083,0.09459116,0.05233633,0.01364787,0.0005005804,0.8163748],"study_design_scores_gemma":[0.004448149,0.0008751933,0.01551892,0.0000335466,0.0001600214,0.000006486885,0.005045113,0.6959975,0.0177143,0.01287037,0.2463266,0.001003791],"study_design_candidate":"design_other","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9773496,0.01246524,0.004695834,0.001978065,0.001155612,0.001006934,0.0003523876,0.000285099,0.0007111627],"genre_scores_gemma":[0.9979078,0.0007388388,0.0006985345,0.00005292128,0.00004855527,0.0004195505,0.00007597513,0.00002376017,0.00003405029],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.815371,"threshold_uncertainty_score":0.4242882,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0124222721254203,"score_gpt":0.20828751447862,"score_spread":0.1958652423531997,"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."}}