{"id":"W4256228012","doi":"10.1109/cjece.2004.1426040","title":"Conference Chair","year":2004,"lang":"en","type":"article","venue":"Canadian Journal of Electrical and Computer Engineering","topic":"Human auditory perception and evaluation","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Computer science","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00005672767,0.00006680091,0.00009416409,0.0001706449,0.0000267091,0.00004106325,0.00005963906,0.00003522984,0.0001582042],"category_scores_gemma":[0.00000825511,0.00006561146,0.00002638522,0.00009236504,0.000008932379,0.00008248831,0.000001924996,0.0001561781,0.0000282396],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001000003,"about_ca_system_score_gemma":0.00008720411,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000007998911,"about_ca_topic_score_gemma":0.00009804048,"domain_scores_codex":[0.999612,0.000003342391,0.0001336682,0.00004047186,0.00006025305,0.0001502015],"domain_scores_gemma":[0.9996076,0.000009600915,0.00001312004,0.00003237538,0.00004194191,0.0002954045],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00000176364,0.000005628624,0.0001785115,0.00003016462,0.00004367501,0.00007670037,0.0007147612,0.9565682,0.002240463,0.001879434,0.003356313,0.03490442],"study_design_scores_gemma":[0.0009007156,0.0002618394,0.03426185,0.0001259547,0.00002070605,0.0005285736,0.0000102876,0.936434,0.0006138135,0.0007562808,0.02572048,0.0003655291],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.5728142,0.0004877202,0.4255534,0.0001138604,0.0007385497,0.0000331405,7.021352e-7,0.00004147909,0.0002169796],"genre_scores_gemma":[0.9979662,0.00002586885,0.001508002,0.00004343745,0.0004361263,4.523449e-7,4.416175e-7,0.000008497337,0.00001097711],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.425152,"threshold_uncertainty_score":0.2675558,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01094593358360441,"score_gpt":0.1774778182430865,"score_spread":0.1665318846594821,"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."}}