{"id":"W2897879628","doi":"10.3390/en11102756","title":"Engineering Dielectric Liquid Applications","year":2018,"lang":"en","type":"article","venue":"Energies","topic":"Power Transformer Diagnostics and Insulation","field":"Engineering","cited_by":5,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université du Québec à Chicoutimi","funders":"","keywords":"Dielectric; Liquid dielectric; Materials science; Process engineering; Engineering; Optoelectronics","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":[],"consensus_categories":[],"category_scores_codex":[0.00002096123,0.00006182471,0.00004754374,0.00006474611,0.00003443519,0.00001502697,0.00005807211,0.00002841558,0.00003814305],"category_scores_gemma":[0.000006104488,0.00006472653,0.00001755316,0.0001729462,0.00001154938,0.00007084227,0.000004450934,0.00003810612,0.00009892622],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001710345,"about_ca_system_score_gemma":0.000004108065,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00000339904,"about_ca_topic_score_gemma":0.00000271515,"domain_scores_codex":[0.9996912,0.000001177284,0.00007528727,0.00006077532,0.00004732083,0.0001242117],"domain_scores_gemma":[0.9998324,0.00002281925,0.000004369633,0.00009400731,0.00002013323,0.00002625721],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00001355408,0.00004886958,0.0001705522,0.0001123633,0.0001232496,0.000001964635,0.000786515,0.6033365,0.241052,0.1152972,0.005131075,0.03392616],"study_design_scores_gemma":[0.0001458905,0.00009276091,0.002240203,0.00001692278,0.00001597523,0.000002432307,0.00001040364,0.1462323,0.2977193,0.0002435372,0.5530007,0.0002795697],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6724338,0.00158201,0.2533425,0.00006481689,0.0006958495,0.0001872526,0.000009913713,0.001300031,0.07038387],"genre_scores_gemma":[0.9985873,0.0002275076,0.0007794433,0.00001537318,0.0002629822,0.00005203749,0.000007969753,0.00001673611,0.00005063522],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.5478697,"threshold_uncertainty_score":0.2639471,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.004418548433040266,"score_gpt":0.189515606343645,"score_spread":0.1850970579106047,"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."}}