{"id":"W2918000624","doi":"10.5334/labphon.133","title":"Do social preferences matter in lexical retuning?","year":2019,"lang":"en","type":"article","venue":"Laboratory Phonology Journal of the Association for Laboratory Phonology","topic":"Phonetics and Phonology Research","field":"Psychology","cited_by":13,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia","funders":"","keywords":"Psychology; 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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006372996,0.0002286786,0.0002139914,0.0002513363,0.000274617,0.0008830631,0.0002228018,0.0005729787,0.003243283],"category_scores_gemma":[0.004169209,0.00023601,0.0001716221,0.0001139644,0.0008677184,0.0006437822,0.0005584624,0.0005075657,0.0003212481],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001414212,"about_ca_system_score_gemma":0.0001869017,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0004700864,"about_ca_topic_score_gemma":0.001261081,"domain_scores_codex":[0.9995145,0.0001288695,0.00002586264,0.0001292709,0.00009921124,0.0001022444],"domain_scores_gemma":[0.997546,0.0007816259,0.000724494,0.0002524035,0.00009849937,0.0005970447],"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":[0.003159302,0.001304251,0.3804914,0.0001902994,0.0002814291,0.0009575769,0.003962757,0.0004457693,0.5375992,0.00163021,0.0006318582,0.06934595],"study_design_scores_gemma":[0.00002966748,0.0004405691,0.9914829,0.000009516214,0.00003085845,0.0001473986,0.0009593604,0.0003751832,0.00501365,0.001083346,0.0004117659,0.00001571183],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9983184,0.00005829806,0.0002469778,0.0001014587,0.000007856687,0.000005435923,0.00001672959,0.000004845649,0.001239954],"genre_scores_gemma":[0.9993219,0.00005997752,0.0001241207,0.0001036553,0.00001097372,0.000006935431,0.00002071181,0.000008851064,0.0003427938],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.003243283,"threshold_uncertainty_score":0.01084989,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01833383382149618,"score_gpt":0.314827525195371,"score_spread":0.2964936913738748,"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."}}