{"id":"W2430370003","doi":"10.1007/s11145-016-9666-4","title":"The contribution of executive functions to naming digits, objects, and words","year":2016,"lang":"en","type":"article","venue":"Reading and Writing","topic":"Reading and Literacy Development","field":"Psychology","cited_by":34,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Alberta","funders":"","keywords":"Fluency; Psychology; Reading (process); Cognitive psychology; Serial memory processing; Cognition; Executive functions; Psycholinguistics; Numerosity adaptation effect; Serial position effect; Variance (accounting); Verbal fluency test; Factor (programming language); Developmental psychology; Neuropsychology; Linguistics; Computer science; Neuroscience","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":[0.001291493,0.001068029,0.0003118282,0.00116939,0.0003767759,0.001674445,0.0004962894,0.0005370071,0.003209617],"category_scores_gemma":[0.01113838,0.0004087793,0.0002412604,0.0004537533,0.001021188,0.001296148,0.00058475,0.001467162,0.0005290174],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004417919,"about_ca_system_score_gemma":0.001078706,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005354291,"about_ca_topic_score_gemma":0.007933703,"domain_scores_codex":[0.9994349,0.0001452664,0.00004170863,0.0001494862,0.0001515897,0.00007703907],"domain_scores_gemma":[0.9915029,0.005085543,0.001143529,0.0009122107,0.0008897157,0.0004661698],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.001290443,0.001038489,0.43944,0.0003821676,0.0003974991,0.005727192,0.003638631,0.003676064,0.1209332,0.007319426,0.001737971,0.4144189],"study_design_scores_gemma":[0.00005092453,0.0003155172,0.9691051,0.0001001013,0.0002014677,0.001955533,0.0005709323,0.002665633,0.0135573,0.00946379,0.001977043,0.00003668631],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9809863,0.001407672,0.003767653,0.0004196125,0.00007736652,0.00001935453,0.0002732096,0.00008401564,0.01296481],"genre_scores_gemma":[0.9932252,0.0008740184,0.001993533,0.0001375389,0.00006658461,0.00002837275,0.0002690011,0.00006660558,0.003339106],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.005354291,"threshold_uncertainty_score":0.01073724,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01178693957020188,"score_gpt":0.2859502411614104,"score_spread":0.2741633015912086,"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."}}