{"id":"W2103188985","doi":"10.1044/lle10.1.26","title":"Nonlinear Phonology: Application and Outcomes Evaluation","year":2003,"lang":"en","type":"article","venue":"Perspectives on Language Learning and Education","topic":"Reading and Literacy Development","field":"Psychology","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of British Columbia","funders":"","keywords":"Phonology; Psychology; Nonlinear system; Linguistics; Cognitive psychology; Natural language processing; Computer science; Physics; Philosophy","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":[0.01258109,0.0007681499,0.0009003163,0.002513979,0.0005432438,0.001739565,0.0009711703,0.001034107,0.01320234],"category_scores_gemma":[0.05546788,0.0002540258,0.0008274406,0.001608077,0.00157666,0.002879052,0.002475256,0.0009046239,0.001386918],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001195948,"about_ca_system_score_gemma":0.001518106,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002240345,"about_ca_topic_score_gemma":0.002834919,"domain_scores_codex":[0.9904675,0.005896532,0.0006932255,0.0004313964,0.002374899,0.0001364835],"domain_scores_gemma":[0.9593077,0.03062754,0.001775302,0.00328602,0.004410465,0.0005929552],"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":[0.006401856,0.002042655,0.1089259,0.0009783473,0.0002075091,0.0005664956,0.001725848,0.01324627,0.006589674,0.02154113,0.002844663,0.8349297],"study_design_scores_gemma":[0.002787839,0.02274949,0.3493993,0.0008755075,0.001594576,0.004968434,0.007021342,0.3782884,0.0794908,0.128372,0.02386121,0.0005910537],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6042573,0.001080443,0.3469663,0.001385122,0.0003372096,0.003253401,0.002078061,0.001536038,0.03910622],"genre_scores_gemma":[0.8807578,0.0005753036,0.110042,0.00009407914,0.00008160574,0.001889353,0.0004839501,0.0003377004,0.005738145],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01320234,"threshold_uncertainty_score":0.06653589,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01007337131762137,"score_gpt":0.3595266617854245,"score_spread":0.3494532904678031,"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."}}