{"id":"W2138273153","doi":"10.1177/0267658308100284","title":"Phonological feature re-assembly and the importance of phonetic cues","year":2009,"lang":"en","type":"article","venue":"Second language Research","topic":"Phonetics and Phonology Research","field":"Psychology","cited_by":17,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Calgary","funders":"","keywords":"Feature (linguistics); Phonological rule; Distinctive feature; Linguistics; Computer science; Robustness (evolution); Phonology; Phonetics; Speech recognition; Psychology; Natural language processing; Artificial intelligence; Biology","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":[0.001223687,0.0004536759,0.0004974994,0.0007353805,0.0006175337,0.003772223,0.0008157697,0.001484525,0.003534465],"category_scores_gemma":[0.01204333,0.0007957079,0.0003954915,0.0003867762,0.003708185,0.004714363,0.002013266,0.002475888,0.0008757522],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004334337,"about_ca_system_score_gemma":0.0005635282,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001293186,"about_ca_topic_score_gemma":0.001113517,"domain_scores_codex":[0.998789,0.0001698237,0.00006430953,0.0003610391,0.0003873888,0.0002284154],"domain_scores_gemma":[0.9903191,0.005898525,0.001049862,0.001450913,0.0008842418,0.0003973449],"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":[0.001551271,0.000211691,0.01817839,0.0004840052,0.00009225234,0.00333693,0.004672922,0.00478054,0.7101514,0.08688663,0.0006946451,0.1689592],"study_design_scores_gemma":[0.0002206672,0.001804701,0.2895689,0.0001980868,0.0002561621,0.01148158,0.003765537,0.05124241,0.3637592,0.2641348,0.01318526,0.0003827338],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8905469,0.003148904,0.06331903,0.001543857,0.0002413192,0.00004183121,0.00008764242,0.0006550853,0.04041548],"genre_scores_gemma":[0.9909695,0.0004185112,0.006132612,0.0001520641,0.00004506457,0.00001078159,0.00007933131,0.0001124509,0.002079809],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.003772223,"threshold_uncertainty_score":0.01182395,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0480349790245673,"score_gpt":0.4135032636770934,"score_spread":0.3654682846525261,"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."}}