{"id":"W4387059333","doi":"10.1101/2023.09.25.559330","title":"White matter tract microstructure, macrostructure, and associated cortical gray matter morphology across the lifespan","year":2023,"lang":"en","type":"preprint","venue":"bioRxiv (Cold Spring Harbor Laboratory)","topic":"Advanced Neuroimaging Techniques and Applications","field":"Medicine","cited_by":8,"is_retracted":false,"has_abstract":true,"ca_institutions":"Alberta Children's Hospital; Université de Sherbrooke; Baycrest Hospital; University of Calgary","funders":"","keywords":"White matter; Tractography; Diffusion MRI; Neuroscience; Brain morphometry; Biology; Human brain; Psychology; Magnetic resonance imaging; Medicine","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":[0.000853549,0.0002852399,0.0002393498,0.001326216,0.0002413425,0.0005198749,0.000222261,0.0002809999,0.002091859],"category_scores_gemma":[0.002801434,0.0001894262,0.0002523375,0.0009423888,0.0003249763,0.0004638375,0.0005251324,0.0002662493,0.000371731],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003044931,"about_ca_system_score_gemma":0.0004236896,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.006177013,"about_ca_topic_score_gemma":0.01357529,"domain_scores_codex":[0.999804,0.00004552958,0.00001767575,0.00008290451,0.00002940323,0.00002055923],"domain_scores_gemma":[0.9986922,0.0002231161,0.0004665898,0.0002831688,0.0002390345,0.00009585642],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0007845855,0.0001125747,0.8591694,0.0004089375,0.0009430727,0.0004002924,0.001023299,0.00925244,0.05200068,0.00258497,0.009896671,0.06342319],"study_design_scores_gemma":[0.000009565994,0.00005348984,0.9863091,0.00005798802,0.00008509262,0.0006034037,0.0001174165,0.003819108,0.003188762,0.003135636,0.002598636,0.00002167336],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9691886,0.000601077,0.006260965,0.0001639513,0.00000751162,0.00001202739,0.02264326,0.0001469814,0.000975654],"genre_scores_gemma":[0.9722105,0.0004444285,0.009035293,0.00003738687,0.00001246886,0.00004161735,0.01711043,0.00007889532,0.001028991],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.006177013,"threshold_uncertainty_score":0.01228213,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02838791440336867,"score_gpt":0.2979703062748655,"score_spread":0.2695823918714968,"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."}}