{"id":"W4321015791","doi":"10.1109/tpel.2022.3231509","title":"Administrative Committee","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; Political science; 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":["insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.03097288,0.001235497,0.002605024,0.008637602,0.0104285,0.01398031,0.007019728,0.01177069,0.4350969],"category_scores_gemma":[0.08994626,0.001754231,0.002045918,0.003788305,0.002392403,0.003707323,0.004812033,0.01016748,0.44514],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.006310548,"about_ca_system_score_gemma":0.03343079,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01344156,"about_ca_topic_score_gemma":0.01971051,"domain_scores_codex":[0.9699379,0.004575915,0.002597797,0.003022135,0.01443318,0.005433124],"domain_scores_gemma":[0.8485121,0.01710545,0.004266545,0.01482803,0.103159,0.01212891],"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":[0.00005519177,0.00005148522,0.0002001236,0.000113849,0.000006169598,0.00004270408,0.00007825242,0.00003477026,0.0002504476,0.002730961,0.9837376,0.01269839],"study_design_scores_gemma":[0.0000562063,0.0000298263,0.001407097,0.000178894,0.00001111139,0.00005289064,0.0002680233,0.0001556003,0.0003662819,0.0009021066,0.9965549,0.00001712658],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.004383936,0.001871446,0.007636472,0.12259,0.04686389,0.01769479,0.02635088,0.00415281,0.7684558],"genre_scores_gemma":[0.003848617,0.0005328821,0.0031281,0.02550386,0.005394462,0.004638697,0.005957784,0.0007199678,0.9502756],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.564903,"threshold_uncertainty_score":0.8057656,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03410844659956384,"score_gpt":0.3381080141385689,"score_spread":0.3039995675390051,"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."}}