{"id":"W4392119640","doi":"10.1016/j.applthermaleng.2024.122802","title":"A novel phase change material-based thermal management of electric machine windings enabled by additive manufacturing","year":2024,"lang":"en","type":"article","venue":"Applied Thermal Engineering","topic":"Phase Change Materials Research","field":"Engineering","cited_by":11,"is_retracted":false,"has_abstract":false,"ca_institutions":"National Research Council Canada","funders":"National Research Council Canada","keywords":"Electromagnetic coil; Stator; Transient (computer programming); Mechanical engineering; Electric machine; Finite element method; Thermal; Engineering; Active cooling; Water cooling; Topology (electrical circuits); Materials science; Automotive engineering; Electrical engineering; Computer science; Structural engineering; Thermodynamics; Physics","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":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0002412673,0.0004371667,0.0003848369,0.0003955702,0.00004240152,0.0001156452,0.0003315215,0.000125002,0.0005601694],"category_scores_gemma":[0.000001988856,0.0004395806,0.00008856991,0.0003746607,0.00002177587,0.0001838519,0.00009480908,0.0002623008,0.00005076364],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001946229,"about_ca_system_score_gemma":0.00001013981,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00002420891,"about_ca_topic_score_gemma":2.72989e-7,"domain_scores_codex":[0.9981618,0.000009796217,0.0003643837,0.0003658671,0.0003520352,0.0007461361],"domain_scores_gemma":[0.999473,0.00005993023,0.00003413032,0.0002856166,0.00001412636,0.0001332087],"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":[0.00008364979,0.00007233453,1.478016e-7,0.001489964,0.0002800824,0.00006018711,0.0001906729,0.009613855,0.9712934,0.000330239,0.00005726622,0.01652818],"study_design_scores_gemma":[0.001042166,0.0000437255,0.00003628217,0.000215679,0.00004885548,0.000004954462,0.00001339451,0.1194115,0.8769459,0.000004517055,0.001858448,0.000374565],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9771793,0.0008464498,0.01636339,0.00001907444,0.0005366916,0.00098248,0.0007074038,0.001252523,0.002112685],"genre_scores_gemma":[0.9977739,0.00007142877,0.0007602802,0.00001757946,0.0002637269,0.000632161,0.0002319486,0.0002199936,0.00002892078],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1097977,"threshold_uncertainty_score":0.9998056,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01468778509542342,"score_gpt":0.2351786437298747,"score_spread":0.2204908586344513,"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."}}