{"id":"W1597112767","doi":"","title":"Speech compensation in persons who stutter: Acoustic and perceptual data","year":2011,"lang":"en","type":"article","venue":"Canadian acoustics","topic":"Stuttering Research and Treatment","field":"Psychology","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto; The Speech and Stuttering Institute","funders":"","keywords":"Speech recognition; Vowel; Neurocomputational speech processing; Compensation (psychology); Perception; Computer science; Motor theory of speech perception; Speech production; Audiology; Psychology; Speech perception; Medicine; Neuroscience","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":true,"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":[0.0005067922,0.0002708601,0.0004302277,0.0009670118,0.0004539674,0.0003066743,0.0001008524,0.0005214327,0.001471165],"category_scores_gemma":[0.003370035,0.0001731295,0.0002561644,0.0003538118,0.000478711,0.000284317,0.0003629617,0.0002940387,0.0005044263],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001195131,"about_ca_system_score_gemma":0.0001317389,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003481098,"about_ca_topic_score_gemma":0.003716142,"domain_scores_codex":[0.9996634,0.00008225718,0.00006148711,0.00004990997,0.00009142498,0.00005157656],"domain_scores_gemma":[0.9985838,0.0003930012,0.0003042546,0.0001112894,0.00033902,0.0002685926],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.003183413,0.0008670467,0.9194993,0.0002523842,0.0001506112,0.003049755,0.008423553,0.0002168588,0.01767808,0.00007028253,0.0004988298,0.04610985],"study_design_scores_gemma":[0.00001618159,0.002022542,0.9916891,0.00000795039,0.00004313009,0.002863955,0.00187519,0.0001285782,0.0009687733,0.00003107285,0.0003416842,0.00001196685],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9991019,0.0001304112,0.0001257014,0.00001462861,0.000003628194,0.00001044564,0.00009364967,0.000005421823,0.0005143099],"genre_scores_gemma":[0.9994624,0.00007804803,0.0001073736,0.00002003041,0.000004918427,0.000008360138,0.0001128862,0.000001473978,0.0002044175],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.003481098,"threshold_uncertainty_score":0.006921649,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1355611586404215,"score_gpt":0.3316282707223949,"score_spread":0.1960671120819735,"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."}}