{"id":"W2811003555","doi":"10.1159/000489491","title":"The Relationship between White Matter and Reading Acquisition, Refinement and Maintenance","year":2018,"lang":"en","type":"article","venue":"Developmental Neuroscience","topic":"Advanced Neuroimaging Techniques and Applications","field":"Medicine","cited_by":18,"is_retracted":false,"has_abstract":true,"ca_institutions":"Women and Children’s Health Research Institute; University of Alberta","funders":"National Institute on Drug Abuse","keywords":"White matter; Neuroscience; Reading (process); Psychology; White (mutation); Cognitive psychology; Biology; Medicine; Linguistics; Genetics; Philosophy; Magnetic resonance imaging","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":[0.0001350656,0.00007137188,0.00006018192,0.00003258036,0.0006291487,0.00004746488,0.00007033366,0.00001389403,0.00000476583],"category_scores_gemma":[0.00008372993,0.00005096638,0.000007149099,0.000188893,0.000468426,0.00009063969,0.0001111455,0.00008180967,0.00001204842],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002458428,"about_ca_system_score_gemma":0.00001831259,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000001454243,"about_ca_topic_score_gemma":5.041369e-7,"domain_scores_codex":[0.9993254,0.00001095163,0.0001318062,0.000259036,0.0001145492,0.00015828],"domain_scores_gemma":[0.9996484,0.00008516709,0.00004232198,0.000124452,0.00003009445,0.00006959779],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.000004651184,0.000003956206,0.9935014,0.000004042181,3.253661e-7,0.000001460715,0.00005798282,1.431799e-8,0.002368847,0.001358292,0.001820362,0.0008786137],"study_design_scores_gemma":[0.0001023235,0.00003775172,0.9766837,0.00003181803,0.000003690775,0.0001205941,0.0000256738,0.00001914014,0.0008712851,0.001248007,0.02079763,0.00005834209],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9740786,0.00001646112,0.0072507,0.01547302,0.00005116955,0.0002895586,0.000004859162,0.00007919681,0.002756437],"genre_scores_gemma":[0.9823652,0.00002652853,0.0124069,0.003521517,0.00003006232,0.0000239161,0.000002036489,0.000007578674,0.0016163],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01897726,"threshold_uncertainty_score":0.4838967,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.07529957441823172,"score_gpt":0.342031578114362,"score_spread":0.2667320036961303,"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."}}