{"id":"W2103719847","doi":"10.1016/j.jecp.2013.08.004","title":"Development of serial processing in reading and rapid naming","year":2013,"lang":"en","type":"article","venue":"Journal of Experimental Child Psychology","topic":"Reading and Literacy Development","field":"Psychology","cited_by":122,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Alberta","funders":"","keywords":"Reading (process); Psychology; Fluency; Contrast (vision); Serial memory processing; Rapid automatized naming; Cognition; Word (group theory); Cognitive psychology; Word recognition; Linguistics; Phonological awareness; Computer science; Artificial intelligence; 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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004908832,0.0001680998,0.0003908773,0.0003809902,0.00006961047,0.00002743408,0.0001786135,0.0001178576,0.0006486733],"category_scores_gemma":[0.00001529327,0.000146005,0.00004989609,0.000158084,0.00008390423,0.0002204494,0.00004133065,0.0002750611,0.00001807842],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00006390158,"about_ca_system_score_gemma":0.00004036248,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001282317,"about_ca_topic_score_gemma":9.988212e-7,"domain_scores_codex":[0.9981986,0.0001018938,0.001024146,0.0002276783,0.0001611476,0.0002865815],"domain_scores_gemma":[0.9991559,0.00003026143,0.0005238449,0.0001266834,0.0000588314,0.0001045242],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"observational","study_design_scores_codex":[0.001115758,0.002036972,0.02725178,0.00007276513,0.0002511886,0.0001332756,0.221101,0.00000352085,0.3667075,0.00136182,0.003388909,0.3765755],"study_design_scores_gemma":[0.008709786,0.001011343,0.8937101,0.0009994815,0.00002154585,0.003145935,0.01958542,0.00001800677,0.04785682,0.0002215985,0.02406337,0.0006565553],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9703586,0.00330989,0.000109765,0.000249647,0.0009759173,0.0001518056,3.782516e-7,0.000007418439,0.02483658],"genre_scores_gemma":[0.9829685,0.00001886168,0.01644816,0.0002788399,0.0001554226,0.00001712068,0.000001490237,0.00001941208,0.00009215786],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.8664584,"threshold_uncertainty_score":0.7102518,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02191675219148554,"score_gpt":0.3455240442930527,"score_spread":0.3236072921015672,"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."}}