{"id":"W2740337803","doi":"","title":"Subphonemic Detail in Lexical Perception and Production: The Case of Canadian Raising.","year":2011,"lang":"en","type":"article","venue":"ICPhS","topic":"Phonetics and Phonology Research","field":"Psychology","cited_by":1,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Raising (metalworking); Production (economics); Linguistics; Perception; Computer science; Psychology; Mathematics; Economics; Philosophy","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000965564,0.0004017013,0.0003959328,0.0009968946,0.003833935,0.004539513,0.001039817,0.001283919,0.006567484],"category_scores_gemma":[0.007068894,0.000465754,0.0002162903,0.00150874,0.005112715,0.001666305,0.001716245,0.001394843,0.0006141918],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.01112388,"about_ca_system_score_gemma":0.01453169,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9158547,"about_ca_topic_score_gemma":0.9387688,"domain_scores_codex":[0.9989535,0.0001524075,0.00002229053,0.0001739916,0.000402998,0.0002948174],"domain_scores_gemma":[0.9983857,0.0005589899,0.0001033772,0.0002216016,0.0005553834,0.0001749771],"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":[0.001881896,0.0002044673,0.06473812,0.0006171078,0.00007599526,0.0148155,0.2520997,0.003414228,0.1243446,0.2238093,0.01376248,0.3002367],"study_design_scores_gemma":[0.000116187,0.0001930842,0.6043672,0.0003219236,0.0002080344,0.009247341,0.1526197,0.008527235,0.01887928,0.06551778,0.1393965,0.0006057961],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8117352,0.001077672,0.00365599,0.001787729,0.00007682465,0.00005460125,0.000403155,0.0001688658,0.18104],"genre_scores_gemma":[0.9934276,0.0002009711,0.00118998,0.00007397967,0.000007184905,0.000005575426,0.00006247163,0.00003241569,0.004999678],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.08414531,"threshold_uncertainty_score":0.1692817,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1254650440259485,"score_gpt":0.3408163720944657,"score_spread":0.2153513280685172,"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."}}