{"id":"W2930309816","doi":"10.7202/1058463ar","title":"Does Perceptual Learning Style Matching Affect L2 Incidental Vocabulary Acquisition through Reading?","year":2019,"lang":"en","type":"article","venue":"Canadian Journal of Applied Linguistics","topic":"Second Language Acquisition and Learning","field":"Psychology","cited_by":12,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Reading (process); Vocabulary; Psychology; Perception; Style (visual arts); Affect (linguistics); Perceptual learning; Auditory learning; Linguistics; Matching (statistics); Language acquisition; Cognitive psychology; Learning styles; Developmental psychology; Communication; Mathematics education; Medicine","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0006099304,0.0002283965,0.0003696246,0.0003103777,0.0002740684,0.0001378826,0.0002901811,0.0002120535,0.03239641],"category_scores_gemma":[0.0002713962,0.0001875168,0.0001440569,0.0001753218,0.00008700427,0.00005526577,0.00002225117,0.00103177,0.0007290191],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000238002,"about_ca_system_score_gemma":0.0002878602,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00190152,"about_ca_topic_score_gemma":0.0003959634,"domain_scores_codex":[0.9983361,0.0001262404,0.0005094739,0.0002661345,0.0002485675,0.0005134891],"domain_scores_gemma":[0.9985061,0.0002132604,0.0004309658,0.0002417801,0.0001930598,0.0004148207],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"not_applicable","study_design_scores_codex":[0.001371228,0.0002709217,0.04807268,0.0004167864,0.001409931,0.01030474,0.602894,0.009730525,0.01184513,0.2752929,0.02189439,0.0164967],"study_design_scores_gemma":[0.007117544,0.001582136,0.05095292,0.0007080854,0.0005760455,0.001682714,0.4068819,0.0003266466,0.00112601,0.007503592,0.5191688,0.002373586],"study_design_candidate":"qualitative","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8613677,0.0004909675,0.0005239547,0.00004530015,0.004491517,0.0001789967,0.00001387302,0.00003858829,0.1328491],"genre_scores_gemma":[0.9919338,0.000003224945,0.001214706,0.002719214,0.002744887,0.000002668277,0.00004440449,0.00006280387,0.001274352],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4972744,"threshold_uncertainty_score":0.9684881,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.008068835299598094,"score_gpt":0.2667232145453406,"score_spread":0.2586543792457425,"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."}}