{"id":"W7104398449","doi":"10.5281/zenodo.17549836","title":"Evaluation of SiC and GaN Power Devices in High-Frequency Welding Machine Converters","year":2020,"lang":"","type":"article","venue":"Zenodo (CERN European Organization for Nuclear Research)","topic":"Electric Power Systems and Control","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Waterloo","funders":"","keywords":"Converters; Welding; Power (physics); Power semiconductor device; Silicon carbide","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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.001920468,0.0002278808,0.0003503813,0.0002809298,0.0004182313,0.0003394318,0.0005571721,0.0001044918,0.005780123],"category_scores_gemma":[0.0007237341,0.0002611864,0.00004853011,0.0008631279,0.00008161003,0.0003557686,0.0002647134,0.0003652058,0.0005074086],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002410952,"about_ca_system_score_gemma":0.00001201293,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001406118,"about_ca_topic_score_gemma":0.000003414763,"domain_scores_codex":[0.9970962,0.0006989239,0.0005783407,0.0004492485,0.0007682189,0.0004090598],"domain_scores_gemma":[0.9986498,0.00003551796,0.0001714396,0.0002853735,0.0006323031,0.0002255345],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0003477712,0.0004317401,0.0007354398,0.002287873,0.001153175,0.00007785156,0.03069733,0.009058307,0.137942,0.01195877,0.01387182,0.7914379],"study_design_scores_gemma":[0.0162891,0.003014881,0.02923734,0.001172904,0.0008473952,0.0001855246,0.003651054,0.7262145,0.006388193,0.0007975186,0.2101108,0.002090829],"study_design_candidate":"design_other","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8519399,0.01690265,0.0135425,0.003699268,0.000689973,0.003183526,0.0004315531,0.0009729015,0.1086378],"genre_scores_gemma":[0.9986144,0.0002246681,0.0000378961,0.00009655667,0.0000745135,7.647841e-8,0.0001211669,0.0008129122,0.00001784909],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.7893471,"threshold_uncertainty_score":0.999984,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02575817951131325,"score_gpt":0.2233367522535763,"score_spread":0.197578572742263,"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."}}