{"id":"W4407246942","doi":"10.1109/tasc.2025.3539621","title":"Design and Assembly of a 250 kW Partially Superconducting Flux Modulation Machine","year":2025,"lang":"en","type":"article","venue":"IEEE Transactions on Applied Superconductivity","topic":"Electric Motor Design and Analysis","field":"Engineering","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"Safran Electronics (Canada)","funders":"Agence Nationale de la Recherche","keywords":"Superconductivity; Flux (metallurgy); Modulation (music); Superconducting magnet; Magnetic flux; Materials science; Superconducting electric machine; Superconducting magnetic energy storage; Condensed matter physics; Nuclear engineering; Physics; Magnetic field; Acoustics; Engineering","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":[0.0003072872,0.0003443996,0.0003799525,0.0002269003,0.000233588,0.0003707846,0.0005244758,0.0004251812,0.00207241],"category_scores_gemma":[0.0003647027,0.0002172714,0.0001784793,0.0001514972,0.0002180332,0.0003107438,0.0002645943,0.000269055,0.001006959],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002402788,"about_ca_system_score_gemma":0.000430314,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001958246,"about_ca_topic_score_gemma":0.0002172143,"domain_scores_codex":[0.9997469,0.00003239693,0.00001603488,0.00005067049,0.0001288108,0.00002516592],"domain_scores_gemma":[0.9998223,0.00001862351,0.00004260902,0.00003031817,0.00005649808,0.00002975446],"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":[0.0003416681,0.0000790429,0.001676186,0.0004420865,0.00003635882,0.0008128756,0.0002403736,0.01638026,0.8676481,0.008870466,0.002408236,0.1010642],"study_design_scores_gemma":[0.0002687428,0.007206721,0.01395753,0.00006933964,0.0001239897,0.004004054,0.0001387583,0.1082868,0.6569976,0.00221313,0.2066307,0.0001027391],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.4189039,0.0006112283,0.5456875,0.0003864729,0.0002526504,0.0006751359,0.0004290545,0.00404593,0.02900808],"genre_scores_gemma":[0.7777435,0.0001605841,0.2116224,0.00003845005,0.00004204839,0.0002660152,0.0004560992,0.0001640289,0.00950689],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.00207241,"threshold_uncertainty_score":0.006932974,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01911259021590025,"score_gpt":0.2285752919543566,"score_spread":0.2094627017384564,"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."}}