{"id":"W2124546674","doi":"10.1017/s0272263112000113","title":"PROMPT-TYPE FREQUENCY, AUDITORY PATTERN DISCRIMINATION, AND EFL LEARNERS’ PRODUCTION OF<i>WH</i>-QUESTIONS","year":2012,"lang":"en","type":"article","venue":"Studies in Second Language Acquisition","topic":"Second Language Acquisition and Learning","field":"Psychology","cited_by":26,"is_retracted":false,"has_abstract":true,"ca_institutions":"Concordia University","funders":"","keywords":"Psychology; Priming (agriculture); Variety (cybernetics); Linguistics; Test (biology); Cognitive psychology; Computer science; Artificial intelligence","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":[0.001079532,0.0003612688,0.0003186727,0.0003368762,0.0002120525,0.0009492347,0.0002048348,0.0003757772,0.003665418],"category_scores_gemma":[0.006092178,0.0002706094,0.000151605,0.0001727583,0.0005182595,0.0005664677,0.0006020938,0.0006082263,0.0005746917],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001281852,"about_ca_system_score_gemma":0.0002371423,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0005131337,"about_ca_topic_score_gemma":0.0005212829,"domain_scores_codex":[0.9995989,0.0001062197,0.00005191961,0.0000935187,0.0001032626,0.00004608349],"domain_scores_gemma":[0.9939703,0.003363125,0.001439332,0.0002933647,0.0003987874,0.0005351382],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.003346503,0.004305718,0.4614442,0.0003154654,0.00008011423,0.001923389,0.02044424,0.0003066974,0.4613618,0.0004346053,0.0002582696,0.04577903],"study_design_scores_gemma":[0.0001535603,0.006010573,0.9196042,0.00004865162,0.00007695224,0.002133356,0.0104165,0.0009616871,0.05857692,0.0007460491,0.001222024,0.00004959728],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9995649,0.00001545378,0.0000669088,0.000004619802,0.000001266576,0.000003398888,0.000006917945,0.000002167992,0.0003342095],"genre_scores_gemma":[0.9990595,0.00003205912,0.0002872283,0.00001093382,0.000001707885,0.00001802757,0.00002100022,0.000004294969,0.0005653966],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.003665418,"threshold_uncertainty_score":0.01226205,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03169671400090503,"score_gpt":0.3551045419659683,"score_spread":0.3234078279650633,"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."}}