{"id":"W4205139482","doi":"10.1007/s41809-021-00092-7","title":"Cross-language contributions of rapid automatized naming to reading accuracy and fluency in young adults: evidence from eight languages representing different writing systems","year":2022,"lang":"en","type":"article","venue":"Journal of Cultural Cognitive Science","topic":"Reading and Literacy Development","field":"Psychology","cited_by":7,"is_retracted":false,"has_abstract":false,"ca_institutions":"Alberta Advanced Education; University of Alberta","funders":"","keywords":"Rapid automatized naming; Fluency; Ran; Portuguese; Reading (process); Writing system; Psychology; Linguistics; European Portuguese; Brazilian Portuguese; Computer science; Phonological awareness; 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":[0.001925137,0.0005597675,0.0004891649,0.001294515,0.000532564,0.002196744,0.0005009663,0.0008809512,0.002829684],"category_scores_gemma":[0.01287166,0.0006780993,0.0004447139,0.0006902608,0.000884858,0.001238423,0.000911815,0.0007076798,0.0006567486],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002773405,"about_ca_system_score_gemma":0.0003754502,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.008116037,"about_ca_topic_score_gemma":0.01266439,"domain_scores_codex":[0.9988926,0.0002219642,0.000181868,0.0003972975,0.000207964,0.0000984472],"domain_scores_gemma":[0.9824364,0.01137683,0.002704092,0.001073102,0.001706555,0.000702999],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.001149954,0.0002887744,0.9710415,0.00007772724,0.0003240013,0.0008113648,0.006929885,0.0001663968,0.009479183,0.0001238591,0.00006803701,0.00953924],"study_design_scores_gemma":[0.00002742848,0.0001428716,0.9969951,0.000008074006,0.00007453984,0.0005258423,0.00113111,0.0001185451,0.0007819401,0.0001035248,0.00007843995,0.00001255611],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9994388,0.00007198322,0.00005718412,0.000007951029,0.000003637151,0.000004586434,0.00004839915,0.000002184405,0.0003651442],"genre_scores_gemma":[0.9993442,0.00005233744,0.0001286557,0.00002501142,0.000004928781,0.00001054193,0.0001206451,0.000008113084,0.0003055882],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.008116037,"threshold_uncertainty_score":0.0161376,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02104082123025987,"score_gpt":0.3858705160669772,"score_spread":0.3648296948367173,"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."}}