{"id":"W4399918218","doi":"10.1002/hbm.26758","title":"Can gray matter loss in early adolescence be explained by white matter growth?","year":2024,"lang":"en","type":"article","venue":"Human Brain Mapping","topic":"Advanced Neuroimaging Techniques and Applications","field":"Medicine","cited_by":7,"is_retracted":false,"has_abstract":true,"ca_institutions":"Ontario Brain Institute; Alberta Children's Hospital; Baycrest Hospital; University of Calgary","funders":"Natural Sciences and Engineering Research Council of Canada; Canada Research Chairs","keywords":"Gray (unit); White matter; Psychology; Developmental psychology; Medicine; Magnetic resonance imaging; Nuclear medicine; Radiology","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":[0.0001429731,0.000184134,0.000201924,0.000220875,0.0001072436,0.00007581372,0.0001643372,0.00005820577,0.000286366],"category_scores_gemma":[0.00001146354,0.0001813776,0.00006439253,0.0003374697,0.00009639265,0.0001159002,0.00007582839,0.0003921977,0.0001480652],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00007980737,"about_ca_system_score_gemma":0.00001663572,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0000553467,"about_ca_topic_score_gemma":0.000009576031,"domain_scores_codex":[0.9987302,0.00002959898,0.0002777009,0.0004643478,0.000169049,0.0003290672],"domain_scores_gemma":[0.9994496,0.00004495414,0.00003881787,0.0003499334,0.00002792482,0.00008879357],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.000007704298,0.00006405954,0.5405331,0.0004025159,0.00001097087,0.0001665664,0.001407288,8.657599e-7,0.1221469,0.002598181,0.3325602,0.0001016635],"study_design_scores_gemma":[0.0005521416,0.00005412126,0.9431263,0.001668779,0.00001965371,0.0001237512,0.0001688284,0.000139916,0.001153061,0.009595814,0.04294473,0.0004528972],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7742954,0.000176302,0.0232757,0.1949597,0.00008229837,0.0009844973,0.00004931638,0.0007831116,0.005393676],"genre_scores_gemma":[0.9755318,0.000006731943,0.001686255,0.01729088,0.00009785151,0.0001321719,0.00005284293,0.00005842495,0.005143094],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4025933,"threshold_uncertainty_score":0.7396362,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0398145550865226,"score_gpt":0.3132566181388213,"score_spread":0.2734420630522987,"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."}}