{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00040425,0.0001950187,0.0001520741,0.000814315,0.0001432129,0.0002945985,0.0001190402,0.0001973631,0.000544542],"category_scores_gemma":[0.0008874168,0.0001128276,0.0001994754,0.0004406418,0.0001010759,0.0002131888,0.0002836807,0.0001312842,0.0001077832],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001397994,"about_ca_system_score_gemma":0.0001541432,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002197743,"about_ca_topic_score_gemma":0.002436044,"domain_scores_codex":[0.9998863,0.00002457337,0.00001108551,0.00003406239,0.00001944422,0.00002454653],"domain_scores_gemma":[0.9995832,0.00008880815,0.0001785023,0.00003726793,0.00006751839,0.0000446569],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0004167419,0.00004434797,0.9259754,0.00005269993,0.0001214844,0.0003844365,0.0005551805,0.0006664873,0.0470755,0.0001657906,0.0001919599,0.02434999],"study_design_scores_gemma":[7.638832e-7,0.00004117757,0.9974213,0.000003461003,0.00001116075,0.0002476176,0.00008571518,0.0005073756,0.001507754,0.0000309537,0.0001400073,0.00000266071],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9989611,0.0001369838,0.0005657227,0.000007282612,0.000001057633,0.000002452374,0.0001731571,0.000009230647,0.0001429365],"genre_scores_gemma":[0.9991386,0.00006353066,0.0005070614,0.000002284661,0.000001524002,0.000005713105,0.00013693,0.000004727431,0.0001395631],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.002197743,"threshold_uncertainty_score":0.004369915,"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."}}