{"id":"W2757581098","doi":"10.1002/9781118829516.ch23","title":"Language Comprehension in Monolingual and Bilingual Children","year":2017,"lang":"en","type":"other","venue":"","topic":"Language Development and Disorders","field":"Psychology","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"Concordia University","funders":"National Institute of Child Health and Human Development; National Institutes of Health","keywords":"Comprehension; Fluency; Variety (cybernetics); Vocabulary; Psychology; Linguistics; TRACE (psycholinguistics); Language acquisition; Computer science; Cognitive psychology; Artificial intelligence; Mathematics education","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":[0.0004963327,0.0004753937,0.000442979,0.001139035,0.0008425215,0.001202992,0.0002913934,0.0004191895,0.005310427],"category_scores_gemma":[0.001190805,0.0002570087,0.0003859508,0.0005036444,0.0006792118,0.0008597014,0.001109273,0.0005092404,0.0008623473],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001064553,"about_ca_system_score_gemma":0.0009794333,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02117493,"about_ca_topic_score_gemma":0.04229885,"domain_scores_codex":[0.9996487,0.00004081468,0.00002728681,0.00008881845,0.00008987013,0.000104584],"domain_scores_gemma":[0.9996678,0.00009676551,0.00005901454,0.00001832165,0.00007878851,0.00007936951],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.001006165,0.001051809,0.6077825,0.0008246144,0.0001551423,0.008099272,0.1554212,0.0003513444,0.05444273,0.003944952,0.009033436,0.1578869],"study_design_scores_gemma":[0.0000235433,0.0003278016,0.9669273,0.0001235118,0.00005833127,0.003872994,0.01886119,0.0001901515,0.00268794,0.001087439,0.005809442,0.00003024167],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9824944,0.001451179,0.0000712756,0.0001076394,0.00001482271,0.00001204459,0.0003451888,0.00003170186,0.01547164],"genre_scores_gemma":[0.9867216,0.001713998,0.0003735759,0.0001172671,0.00001208049,0.00005387599,0.0005868344,0.00003843988,0.01038234],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02117493,"threshold_uncertainty_score":0.04210335,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0112098847854169,"score_gpt":0.3160315427895758,"score_spread":0.3048216580041589,"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."}}