{"id":"W2769822576","doi":"10.1121/1.5014862","title":"Individual differences in cue weights are correlated across contrasts","year":2017,"lang":"en","type":"article","venue":"The Journal of the Acoustical Society of America","topic":"Phonetics and Phonology Research","field":"Psychology","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University","funders":"","keywords":"Formant; Vowel; Psychology; Stop consonant; Voice; Acoustics; Mathematics; Audiology; Consonant; Speech recognition; Physics; Computer science","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":[0.001806905,0.0004420832,0.0005395856,0.001069931,0.0002687633,0.00083126,0.0002351334,0.0004011937,0.00163165],"category_scores_gemma":[0.01454886,0.0004467384,0.0003053512,0.0005665189,0.0005344811,0.0004891595,0.001007327,0.0005534567,0.0003033491],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001432394,"about_ca_system_score_gemma":0.0001316294,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001160717,"about_ca_topic_score_gemma":0.002130773,"domain_scores_codex":[0.9984438,0.0002777205,0.0001482798,0.0005180432,0.0004885795,0.000123594],"domain_scores_gemma":[0.9894564,0.005329074,0.001443261,0.002036592,0.001289857,0.0004448591],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.001774661,0.0002532973,0.6374698,0.0001877475,0.001433576,0.0002311682,0.003740346,0.00223263,0.2806095,0.0007908031,0.0009237845,0.07035269],"study_design_scores_gemma":[0.000009706736,0.0001796557,0.9901344,0.000008404598,0.00007789127,0.000147174,0.0003246457,0.001202813,0.00668691,0.000750072,0.0004400687,0.00003827229],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9942991,0.000105286,0.003386691,0.00002190495,0.00001669518,0.00002877111,0.0001813476,0.00005083819,0.001909418],"genre_scores_gemma":[0.9978077,0.0000368395,0.001506695,0.00002167215,0.00000439341,0.00002052152,0.000202899,0.00004783745,0.0003513951],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001806905,"threshold_uncertainty_score":0.009555936,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04315146818399877,"score_gpt":0.3531582136065561,"score_spread":0.3100067454225574,"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."}}