{"id":"W3002636350","doi":"10.3758/s13414-019-01946-7","title":"When processing costs impact predictive processing: The case of foreign-accented speech and accent experience","year":2020,"lang":"en","type":"article","venue":"Attention Perception & Psychophysics","topic":"Phonetics and Phonology Research","field":"Psychology","cited_by":21,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Alberta; University of Windsor","funders":"","keywords":"Stress (linguistics); Active listening; Speech processing; Psychology; Speech recognition; Speech perception; Cognitive psychology; Information processing; Computer science; Communication; Perception","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":[],"consensus_categories":[],"category_scores_codex":[0.0001636238,0.0002057278,0.0002250937,0.00005989826,0.0002709661,0.00008977283,0.0002425614,0.0001254788,0.0007256075],"category_scores_gemma":[0.00002181663,0.0001552804,0.0001079457,0.0004093384,0.0003969565,0.0002736215,0.000082643,0.0003413284,0.00005615792],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00005672691,"about_ca_system_score_gemma":0.00004735674,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002321171,"about_ca_topic_score_gemma":0.00001036616,"domain_scores_codex":[0.9984386,0.0001648637,0.0003499624,0.0004892325,0.0002277863,0.0003295751],"domain_scores_gemma":[0.9989964,0.00003564367,0.0002295654,0.000289211,0.0002822662,0.0001669217],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"observational","study_design_scores_codex":[0.001780621,0.0009071844,0.04029215,0.0001804235,0.0002062159,0.0001467903,0.1342708,0.00002113006,0.1330291,0.0003554915,0.005905557,0.6829045],"study_design_scores_gemma":[0.003447923,0.001567906,0.9109027,0.000160332,0.0001447892,0.0008180544,0.05772817,0.02058546,0.0004831109,0.003157705,0.0004349022,0.0005689791],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9904831,0.0001744972,0.005506744,0.0009406704,0.0001330716,0.0005518937,0.00004189375,0.00005433413,0.002113767],"genre_scores_gemma":[0.998911,0.00005592266,0.0002006862,0.0003760906,0.0001965802,0.00008711079,0.00003590047,0.00002881554,0.0001078776],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.8706105,"threshold_uncertainty_score":0.7944893,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05352095717671675,"score_gpt":0.3882410246815654,"score_spread":0.3347200675048487,"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."}}