{"id":"W4296708720","doi":"10.1109/tste.2022.3202333","title":"IEEE Industry Applications Society Information","year":2022,"lang":"en","type":"article","venue":"IEEE Transactions on Sustainable Energy","topic":"Human auditory perception and evaluation","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of New Brunswick","funders":"","keywords":"Computer science; Engineering; Systems 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":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0001835839,0.0001436413,0.0001021999,0.0002066939,0.0008264789,0.00005842616,0.0001456567,0.0001327001,0.01149734],"category_scores_gemma":[7.862016e-7,0.0001796234,0.0001150265,0.0005203433,0.00002871045,0.0005169849,0.000001690742,0.0005462659,0.0003296511],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007589029,"about_ca_system_score_gemma":0.00008249405,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001659599,"about_ca_topic_score_gemma":0.000005978452,"domain_scores_codex":[0.998966,0.00003899376,0.0002415857,0.0001288468,0.0003327938,0.0002917385],"domain_scores_gemma":[0.9995154,0.00002296505,0.0000370575,0.0002478865,0.00009308005,0.00008357057],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"not_applicable","study_design_scores_codex":[0.000006484898,0.00004834489,5.161991e-7,0.0000314005,0.00002779806,6.320128e-7,0.0005324665,0.9399935,0.0003656409,0.0002698191,0.04443303,0.01429039],"study_design_scores_gemma":[0.0004238286,0.0000559449,0.00002173112,0.000002323355,0.00002646474,0.000007664208,0.008105375,0.09375662,0.002691131,0.0003309673,0.8943099,0.0002679918],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.007547492,0.00001657898,0.9811384,0.000103736,0.0007535684,0.0002264294,0.00003382543,0.0006546769,0.009525308],"genre_scores_gemma":[0.9795946,0.00004070858,0.0001358129,0.0005372305,0.0001573365,0.001676262,0.00004213916,0.00003210534,0.01778384],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9810026,"threshold_uncertainty_score":0.9894063,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.009635895685735299,"score_gpt":0.2194640024789017,"score_spread":0.2098281067931664,"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."}}