{"id":"W4400288180","doi":"10.1121/10.0027317","title":"Modeling the relationship between listener factors and signal modification: A pooled analysis spanning a decade","year":2024,"lang":"en","type":"article","venue":"The Journal of the Acoustical Society of America","topic":"Speech and Audio Processing","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"","keywords":"SIGNAL (programming language); Computer science; Psychology; Programming language","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":[],"consensus_categories":[],"category_scores_codex":[0.04193117,0.001166548,0.001766241,0.003063923,0.0007158209,0.001627001,0.001217247,0.001419461,0.001718044],"category_scores_gemma":[0.06602439,0.0007812023,0.006975019,0.002891168,0.0005137816,0.001859566,0.001651234,0.001008737,0.000551034],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004754324,"about_ca_system_score_gemma":0.001489624,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.008836712,"about_ca_topic_score_gemma":0.007490039,"domain_scores_codex":[0.987632,0.00791149,0.000993741,0.002400781,0.0007753716,0.0002865998],"domain_scores_gemma":[0.9441121,0.04013604,0.004023558,0.008115804,0.003224533,0.0003879053],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"meta_analysis","study_design_scores_codex":[0.003090457,0.0006254745,0.6255572,0.001885284,0.05623422,0.0007852829,0.003590313,0.03693018,0.01359713,0.00206182,0.004130838,0.2515118],"study_design_scores_gemma":[0.0002517196,0.007067505,0.7227053,0.001039061,0.07122444,0.001054467,0.003403422,0.1448226,0.0128313,0.0115613,0.02357799,0.0004609832],"study_design_candidate":"meta_analysis","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.5631565,0.01102743,0.4161009,0.0005757567,0.0002041971,0.00087542,0.005480703,0.0007451904,0.001833767],"genre_scores_gemma":[0.9156309,0.002688716,0.07331537,0.0002703332,0.0001238075,0.001525665,0.004592442,0.0001795243,0.001673342],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.04193117,"threshold_uncertainty_score":0.2217559,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05084672950864034,"score_gpt":0.3021907954202043,"score_spread":0.251344065911564,"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."}}