{"id":"W4377089868","doi":"10.1109/tpel.2023.3274274","title":"Administrative Committee Information","year":2023,"lang":"en","type":"article","venue":"IEEE Transactions on Power Electronics","topic":"Legal case studies and regulations","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Alberta","funders":"","keywords":"Computer science","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":["insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.02698157,0.001845471,0.00479549,0.01593684,0.01033875,0.01413322,0.007517124,0.008958671,0.7975016],"category_scores_gemma":[0.1042858,0.002786751,0.00264711,0.01013497,0.002443849,0.004273444,0.004505391,0.008121454,0.8125688],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.004328269,"about_ca_system_score_gemma":0.03143343,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.009970627,"about_ca_topic_score_gemma":0.02080088,"domain_scores_codex":[0.9726518,0.004372597,0.00256191,0.002276279,0.01423572,0.003901727],"domain_scores_gemma":[0.8241401,0.02500541,0.004442,0.02664335,0.106647,0.01312212],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00005474213,0.00006433973,0.0001362762,0.000137989,0.000004962341,0.00001977009,0.00004167354,0.00003989945,0.0001288202,0.001158231,0.9879441,0.01026917],"study_design_scores_gemma":[0.0001269176,0.00004606401,0.001524246,0.0003987411,0.0000142348,0.00004047452,0.000279482,0.0002633174,0.0004304677,0.001339892,0.9955058,0.00003025628],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.001758788,0.0007552782,0.007609721,0.02822379,0.01922174,0.02214504,0.1299921,0.006321467,0.7839721],"genre_scores_gemma":[0.002570114,0.0005803145,0.005985077,0.009843549,0.003282134,0.01337888,0.03416798,0.001906284,0.9282856],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.2024984,"threshold_uncertainty_score":0.2888394,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02388177463605125,"score_gpt":0.3173754589677729,"score_spread":0.2934936843317217,"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."}}