{"id":"W2587749413","doi":"10.1007/s11145-017-9728-2","title":"Models of English and Chinese word reading for adolescent Chinese–English bilinguals","year":2017,"lang":"en","type":"article","venue":"Reading and Writing","topic":"Reading and Literacy Development","field":"Psychology","cited_by":19,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Toronto; Wilfrid Laurier University","funders":"Social Sciences and Humanities Research Council of Canada","keywords":"Reading (process); Linguistics; Psychology; Phonological awareness; Psycholinguistics; Vocabulary; Neuroscience of multilingualism; Literacy; First language; Cognition","routes":{"ca_aff":true,"ca_fund":true,"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":[0.0007685075,0.0005588029,0.0003534819,0.0007811733,0.0006505997,0.002146089,0.0008824159,0.0007180137,0.007431746],"category_scores_gemma":[0.002203774,0.0003309447,0.0006028702,0.000436076,0.001103931,0.002316223,0.0005615652,0.0008908152,0.0007578192],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0022292,"about_ca_system_score_gemma":0.002143388,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.03132309,"about_ca_topic_score_gemma":0.03174333,"domain_scores_codex":[0.9997317,0.0001247823,0.00001058319,0.00004685683,0.00003553726,0.0000505083],"domain_scores_gemma":[0.9982983,0.001060675,0.0001654354,0.00006837759,0.0002147354,0.0001925175],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"observational","study_design_scores_codex":[0.0003959061,0.000721656,0.07321101,0.0001948489,0.0001317173,0.002418628,0.02457957,0.0442746,0.003891748,0.813289,0.003848618,0.03304279],"study_design_scores_gemma":[0.0002244371,0.0005325872,0.07928327,0.0001578557,0.0002823802,0.001379971,0.02190188,0.4958721,0.002465419,0.3884529,0.009335098,0.0001122437],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9105701,0.0004589547,0.01229296,0.001219539,0.00002209122,0.00005220398,0.0001831008,0.0000560689,0.07514495],"genre_scores_gemma":[0.9922873,0.00013743,0.001566356,0.00002837083,0.000003762027,0.00003452459,0.00006966301,0.00001133404,0.005861234],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.03132309,"threshold_uncertainty_score":0.06228149,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02793032374881827,"score_gpt":0.339235926216432,"score_spread":0.3113056024676137,"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."}}