{"id":"W4205836025","doi":"10.1080/23273798.2021.2018471","title":"Plasticity of categories in speech perception and production","year":2022,"lang":"en","type":"article","venue":"Language Cognition and Neuroscience","topic":"Phonetics and Phonology Research","field":"Psychology","cited_by":7,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University","funders":"Economic and Social Research Council","keywords":"Perception; Psychology; Voice-onset time; Speech production; Cognitive psychology; Speech perception; Production (economics); Affect (linguistics); Audiology; Communication; Speech recognition; 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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001612848,0.00003379656,0.00005142238,0.00009740489,0.00009372761,0.000006957272,0.00004079636,0.00001419879,0.0002365102],"category_scores_gemma":[0.0000768141,0.00003411895,0.000005018507,0.000202778,0.0001902389,0.00003531843,0.00006150822,0.000124956,0.000001562537],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000004549161,"about_ca_system_score_gemma":0.000007875117,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001332113,"about_ca_topic_score_gemma":0.0000421561,"domain_scores_codex":[0.9994702,0.00009385635,0.00006905209,0.0001826746,0.00009015087,0.00009406389],"domain_scores_gemma":[0.9998654,0.00002961869,0.00002403358,0.00004635681,0.00001298422,0.00002156916],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","study_design_scores_codex":[0.00005798607,0.00007351588,0.00371856,0.000007935473,4.628766e-7,0.00002063376,0.009552862,0.00000267506,0.9803528,0.0001086025,0.0000375701,0.006066395],"study_design_scores_gemma":[0.0004349895,0.0003637866,0.9499461,0.000004438573,0.000004860602,0.0002712129,0.007553402,0.0002131684,0.04022131,0.00078034,0.0001221258,0.00008427036],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9988585,0.00006918283,0.00002062994,0.0001849914,0.0002066183,0.00009263518,0.0000138503,0.000007916688,0.0005457362],"genre_scores_gemma":[0.9994657,0.0000430186,0.00001196998,0.0001293467,0.00001200439,0.000018986,0.000003182197,0.000002344197,0.0003134247],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.9462276,"threshold_uncertainty_score":0.2589621,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03867615167776459,"score_gpt":0.3375378878379325,"score_spread":0.2988617361601679,"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."}}