{"id":"W2983930248","doi":"10.1002/rrq.289","title":"Automaticity and Control: How Do Executive Functions and Reading Fluency Interact in Predicting Reading Comprehension?","year":2019,"lang":"en","type":"article","venue":"Reading Research Quarterly","topic":"Reading and Literacy Development","field":"Psychology","cited_by":55,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"York University","keywords":"Fluency; Reading (process); Reading comprehension; Psychology; Cognitive psychology; Executive functions; Automaticity; Comprehension; Cognition; Verbal fluency test; Vocabulary; Linguistics; Neuropsychology; Mathematics education","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.003172791,0.0003434133,0.0006188539,0.001143344,0.0004177361,0.0005732354,0.0002510867,0.0002231648,0.0001376205],"category_scores_gemma":[0.0003599219,0.0003207555,0.00006617383,0.0007028953,0.0002132537,0.0006504419,0.00008722523,0.001201598,0.0001994496],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002922535,"about_ca_system_score_gemma":0.00007246654,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0006775232,"about_ca_topic_score_gemma":0.00002512456,"domain_scores_codex":[0.99573,0.001036148,0.0006061448,0.0009113483,0.0005743639,0.001142007],"domain_scores_gemma":[0.9956685,0.003017702,0.0001755422,0.0005592576,0.000246141,0.0003328562],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0004874159,0.0002446883,0.7855284,0.0003111806,0.0002975842,0.0001844835,0.1118324,0.000005960064,0.01811167,0.006183915,0.003035788,0.07377656],"study_design_scores_gemma":[0.006095691,0.002733261,0.8658432,0.004070252,0.00006161383,0.0005594721,0.1011472,0.01078471,0.0001701042,0.002906995,0.004530468,0.001097065],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9814333,0.0002900895,0.0003725452,0.0006476303,0.0005455547,0.0009694136,0.00001966873,0.000166984,0.01555476],"genre_scores_gemma":[0.9937618,0.00002240766,0.0003832445,0.00005156676,0.0001182941,0.000134055,0.00001669931,0.00005443226,0.005457509],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.08031483,"threshold_uncertainty_score":0.9999245,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02938925979592103,"score_gpt":0.354514850138464,"score_spread":0.3251255903425429,"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."}}