{"id":"W2167742005","doi":"10.1109/tpwrd.2003.820225","title":"Coolant Flow Distribution and Pressure Loss in ONAN Transformer Windings—Part I: Theory and Model Development","year":2004,"lang":"en","type":"article","venue":"IEEE Transactions on Power Delivery","topic":"Advanced Fiber Optic Sensors","field":"Engineering","cited_by":44,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Waterloo","funders":"","keywords":"Mechanics; Electromagnetic coil; Pressure drop; Transformer; Materials science; Coolant; Discretization; Mass flow; Engineering; Electrical engineering; Physics; Mechanical engineering; Mathematics; 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":[0.0004144566,0.0009239942,0.0008499261,0.0008236913,0.0005502111,0.001245538,0.001808272,0.001383819,0.001868293],"category_scores_gemma":[0.0007059261,0.0005824938,0.0008906174,0.0009547531,0.001033675,0.001669753,0.0006805796,0.000992303,0.0008172873],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001250243,"about_ca_system_score_gemma":0.0009573764,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00588451,"about_ca_topic_score_gemma":0.00275497,"domain_scores_codex":[0.9998001,0.00005176803,0.00001136243,0.00003936674,0.00007698429,0.00002040715],"domain_scores_gemma":[0.9998311,0.00006815608,0.00002632966,0.00002032373,0.00004514983,0.000008874604],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00002017512,0.00003787305,0.0003358069,0.000123077,0.00001021151,0.0001070477,0.00007590044,0.960924,0.004311149,0.02283463,0.0007574594,0.01046275],"study_design_scores_gemma":[0.000002239469,0.00001038913,0.00008464602,0.000008766411,0.000003115769,0.00002175179,0.000009220598,0.9956017,0.0006494088,0.002572747,0.001031557,0.000004563587],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.02674669,0.002605609,0.9448396,0.0003543207,0.00009964752,0.0001549558,0.0003746593,0.0005525269,0.02427198],"genre_scores_gemma":[0.870513,0.007504226,0.07997276,0.0002110165,0.0001750912,0.0008397124,0.0006728056,0.0004735472,0.03963787],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.00588451,"threshold_uncertainty_score":0.01170051,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.006670793636363154,"score_gpt":0.1956362615047646,"score_spread":0.1889654678684015,"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."}}