{"id":"W4324107248","doi":"10.1109/tpel.2023.3250860","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":"codex-gemma-dda1882f352a","candidate_categories":["sts"],"consensus_categories":[],"category_scores_codex":[0.0002372524,0.0001013681,0.0001086256,0.0001014476,0.00145799,0.00004671462,0.0001255784,0.00008609232,0.0003717908],"category_scores_gemma":[0.000008050792,0.0000967485,0.0001149054,0.0008357133,0.0001979612,0.0001087127,6.976875e-7,0.0002671453,0.0003950663],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001712703,"about_ca_system_score_gemma":0.0003156209,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001283973,"about_ca_topic_score_gemma":0.004171824,"domain_scores_codex":[0.9988467,0.00008916584,0.0001298707,0.00017989,0.000296491,0.0004579292],"domain_scores_gemma":[0.9994943,0.0001533432,0.00003079516,0.0001569762,0.00007284024,0.00009172408],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0003552716,0.001604871,0.00009822191,0.00003466264,0.001142203,0.000137763,0.1485838,0.01084374,0.001443743,0.5816823,0.1942523,0.05982121],"study_design_scores_gemma":[0.0003456976,0.0003770358,0.000209549,0.00001045449,0.00004159324,0.000002479666,0.006385155,0.0001841321,0.001744845,0.002923044,0.9874991,0.0002769222],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.1585394,0.0009370807,0.1494358,0.07431078,0.006922327,0.002066188,0.0002747669,0.003387099,0.6041265],"genre_scores_gemma":[0.98264,0.0004389993,0.00003924929,0.0001947852,0.00004523632,0.00003682733,0.000002416325,0.00001360159,0.01658884],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.8241007,"threshold_uncertainty_score":0.999842,"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."}}