{"id":"W2742743169","doi":"10.1109/eic.2017.8004671","title":"Investigation of rotor hotspot temperature using Fiber Bragg Gratings","year":2017,"lang":"en","type":"article","venue":"","topic":"Power Transformer Diagnostics and Insulation","field":"Engineering","cited_by":6,"is_retracted":false,"has_abstract":true,"ca_institutions":"Hydro-Québec","funders":"","keywords":"Fiber Bragg grating; Hotspot (geology); Materials science; Thermal; Optical fiber; Computer science; Electrical engineering; Optics; Engineering; Physics; Telecommunications; Meteorology","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true,"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":[0.0001282697,0.0001962885,0.000157696,0.0004563599,0.0001771918,0.0002082616,0.0002711153,0.0002669254,0.0004686478],"category_scores_gemma":[0.0001841212,0.0001213262,0.00008413393,0.0003082129,0.0002612309,0.0001405268,0.00008100626,0.0001775214,0.0001311933],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004058089,"about_ca_system_score_gemma":0.0001886215,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02214761,"about_ca_topic_score_gemma":0.06326144,"domain_scores_codex":[0.9998292,0.00001318096,0.000003365334,0.00004273139,0.00007881611,0.00003277955],"domain_scores_gemma":[0.9997765,0.0000502815,0.00005881688,0.00001357667,0.00008250031,0.00001829082],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.0001048897,0.00004196489,0.02961395,0.00004187997,0.00001534051,0.0003552241,0.0004618542,0.0005569424,0.9603204,0.00005711052,0.00008668236,0.008343801],"study_design_scores_gemma":[0.0000109054,0.0005524636,0.4593715,0.00001434741,0.00004053519,0.00106124,0.0008971163,0.008281708,0.528203,0.00005474373,0.001481762,0.00003070581],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9969246,0.000131669,0.001947332,0.00001118749,0.000005578988,0.00001081,0.00008181377,0.00004000078,0.0008469778],"genre_scores_gemma":[0.9978876,0.00008252998,0.001342539,0.00001123051,0.000002489828,0.00000275443,0.00003906478,0.000005293347,0.0006265603],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02214761,"threshold_uncertainty_score":0.0440374,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01932709333351658,"score_gpt":0.2293663740053322,"score_spread":0.2100392806718156,"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."}}