{"id":"W1964270380","doi":"10.1016/j.lindif.2007.04.001","title":"Deconstructing rapid automatized naming: Component processes and the prediction of reading difficulties","year":2007,"lang":"en","type":"article","venue":"Learning and Individual Differences","topic":"Reading and Literacy Development","field":"Psychology","cited_by":51,"is_retracted":false,"has_abstract":false,"ca_institutions":"McGill University","funders":"","keywords":"Alphanumeric; Rapid automatized naming; Psychology; Reading (process); Cognitive psychology; Decoding methods; Variance (accounting); Lexical access; Variation (astronomy); Factor (programming language); Literacy; Phonological awareness; Linguistics; Computer science; Cognition","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":[0.000956227,0.0001365882,0.0002629913,0.0001154337,0.0003624563,0.00009482077,0.00008977444,0.00007186311,0.00004377542],"category_scores_gemma":[0.0002935958,0.00008354547,0.00002340142,0.0001302549,0.0003845338,0.00007139552,0.00005227965,0.0002303276,0.000001377123],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000006493256,"about_ca_system_score_gemma":0.00001412088,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00007198529,"about_ca_topic_score_gemma":0.000003369082,"domain_scores_codex":[0.9988207,0.0001736305,0.0003729964,0.0002207236,0.000190688,0.0002212699],"domain_scores_gemma":[0.9983274,0.001258731,0.0002529484,0.00006285043,0.00004823612,0.00004981516],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001344708,0.0000349168,0.7515265,0.0001320853,0.0001783768,0.000001803492,0.09939952,8.850963e-7,0.0001970821,0.002835481,0.00004396835,0.1455148],"study_design_scores_gemma":[0.001407275,0.0001202978,0.9658948,0.0002554966,0.00005338902,0.00006049427,0.03102505,0.0001674797,0.000231398,0.0002043506,0.0004600105,0.0001199724],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9951835,0.001046856,0.0003182509,0.00006906113,0.0002321582,0.0001299416,0.000005052652,0.00007985875,0.002935363],"genre_scores_gemma":[0.9986611,0.0001231196,0.0006543195,0.0000162687,0.00005411748,0.00001299051,0.00001351534,0.00000747158,0.0004570888],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2143682,"threshold_uncertainty_score":0.3406885,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02675589894160043,"score_gpt":0.2781656502758533,"score_spread":0.2514097513342529,"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."}}