{"id":"W2961338082","doi":"10.1002/hbm.24706","title":"A multiparametric analysis of white matter maturation during late childhood and adolescence","year":2019,"lang":"en","type":"article","venue":"Human Brain Mapping","topic":"Advanced Neuroimaging Techniques and Applications","field":"Medicine","cited_by":77,"is_retracted":false,"has_abstract":true,"ca_institutions":"Alberta Children's Hospital; University of Calgary","funders":"Natural Sciences and Engineering Research Council of Canada; Canadian Institutes of Health Research","keywords":"White matter; Psychology; Developmental psychology; White (mutation); Medicine; Biology; Magnetic resonance imaging; Genetics","routes":{"ca_aff":true,"ca_fund":true,"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":[0.00007088158,0.00008209465,0.0002171364,0.0004622826,0.00009840715,0.00001068022,0.00004921875,0.00002932244,0.00006659803],"category_scores_gemma":[0.00001878489,0.00008011213,0.00006117021,0.000756801,0.00002943089,0.00006751578,0.00005829387,0.0001149913,0.000008662829],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001552778,"about_ca_system_score_gemma":0.000003878258,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000005415506,"about_ca_topic_score_gemma":7.394415e-7,"domain_scores_codex":[0.9993547,0.00001349477,0.0001948849,0.0002325556,0.00009283664,0.0001115807],"domain_scores_gemma":[0.9995515,0.00002946263,0.0001123991,0.0002376956,0.0000336399,0.00003529328],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.000007907853,0.00004428235,0.6658442,0.0001286868,0.00006794652,0.000001842792,0.0005294661,0.0001281783,0.3329009,0.0001452954,0.00005336613,0.000147964],"study_design_scores_gemma":[0.0002918655,0.00001445769,0.9963751,0.0001204559,0.00009372933,0.000008747032,0.00003284066,0.002311027,0.0004667697,0.0001342399,0.00007486805,0.0000758264],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9933656,0.00002845525,0.004964404,0.0007409232,0.000004942881,0.0003341878,0.000003229243,0.00006998208,0.0004882934],"genre_scores_gemma":[0.9933743,0.000006733361,0.005467456,0.0004424661,0.00001420658,0.00001162882,0.00001579176,0.00001189302,0.0006554686],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3324341,"threshold_uncertainty_score":0.3266878,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02860885313794186,"score_gpt":0.3029596770906897,"score_spread":0.2743508239527478,"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."}}