{"id":"W184521707","doi":"","title":"MÉTHODES NUMÉRIQUES ET OUTILS LOGICIELS POUR LA PRISE EN COMPTE DES EFFETS CAPACITIFS DANS LA MODÉLISATION CEM DE DISPOSITIFS D'ÉLECTRONIQUE DE PUISSANCE","year":2010,"lang":"fr","type":"preprint","venue":"HAL (Le Centre pour la Communication Scientifique Directe)","topic":"Electric Motor Design and Analysis","field":"Engineering","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"Center for Diagnosis and Research on Alzheimer's Disease","funders":"","keywords":"Humanities; Physics; Political science; Philosophy","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":[0.001087523,0.001124818,0.0008829915,0.0007648796,0.0005856907,0.001874279,0.001492062,0.001242281,0.006977011],"category_scores_gemma":[0.002632505,0.0005895332,0.001292088,0.0007815515,0.0007978015,0.001210315,0.0007488485,0.002003074,0.001482256],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001054608,"about_ca_system_score_gemma":0.001897772,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005499833,"about_ca_topic_score_gemma":0.004945343,"domain_scores_codex":[0.9994503,0.0001077327,0.00003002027,0.00007125113,0.0003020863,0.00003863784],"domain_scores_gemma":[0.9990296,0.0005097594,0.00007597214,0.00009351144,0.0002701821,0.00002091347],"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":[0.0001491601,0.00009766524,0.001255279,0.0009540874,0.0000934543,0.0002145941,0.0004000721,0.7173097,0.0408482,0.06892142,0.002476607,0.1672797],"study_design_scores_gemma":[0.00003021618,0.00005567192,0.0003204297,0.000105005,0.00003224205,0.0001169236,0.00007421122,0.9497067,0.01946591,0.009848533,0.0202119,0.00003231164],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.004310638,0.00025878,0.99167,0.00009537686,0.00003631764,0.00004736019,0.00008984812,0.0005747646,0.002916975],"genre_scores_gemma":[0.1634306,0.001204381,0.8201496,0.0001350476,0.00004114495,0.0005392318,0.0003488312,0.0006659491,0.01348515],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.006977011,"threshold_uncertainty_score":0.02334046,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01429364070930106,"score_gpt":0.2414033383101951,"score_spread":0.2271096976008941,"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."}}