{"id":"W2432025374","doi":"10.1111/desc.12433","title":"Bilingual children's long‐term outcomes in English as a second language: language environment factors shape individual differences in catching up with monolinguals","year":2016,"lang":"en","type":"article","venue":"Developmental Science","topic":"Language Development and Disorders","field":"Psychology","cited_by":187,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Alberta","funders":"Social Sciences and Humanities Research Council of Canada","keywords":"Psychology; Term (time); Neuroscience of multilingualism; Linguistics; Language acquisition; Language development; Developmental psychology; Cognitive psychology; Mathematics education","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0006401903,0.0003990731,0.0003894676,0.000608863,0.0001623599,0.0001225852,0.0008587565,0.0001173493,0.003703751],"category_scores_gemma":[0.0001812534,0.0002479944,0.00004337655,0.0006348712,0.0004745285,0.0004944408,0.0003228689,0.0002385733,0.0001458931],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003296148,"about_ca_system_score_gemma":0.0004216813,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0007761876,"about_ca_topic_score_gemma":0.002816268,"domain_scores_codex":[0.9968272,0.00007921171,0.0004734965,0.0009268046,0.0007483277,0.0009449156],"domain_scores_gemma":[0.9991848,0.000177729,0.0001500331,0.0002667715,0.00001906499,0.0002016231],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00003078205,0.0001402755,0.7893249,0.000003522563,0.0000278618,0.0001215842,0.1887451,1.669369e-7,0.0008238119,0.00003238658,0.000005810427,0.02074374],"study_design_scores_gemma":[0.00179952,0.0000606912,0.954366,0.00006320708,0.000005460121,0.00001980923,0.03984524,3.73965e-7,0.003325267,0.00001270024,0.000009563115,0.0004921951],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9968644,0.0001562222,0.00000849347,0.00004444609,0.0003585358,0.0004757725,0.00004010952,0.00008749971,0.001964499],"genre_scores_gemma":[0.9977125,0.000007176248,0.0003739673,0.0001875709,0.00002831344,0.00005042439,0.00003374965,0.00002623543,0.001580093],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.165041,"threshold_uncertainty_score":0.9999973,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01651996312738287,"score_gpt":0.2762286170347768,"score_spread":0.2597086539073939,"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."}}