{"id":"W1975446567","doi":"10.1002/jmri.10205","title":"Serial quantitative diffusion tensor MRI of the premature brain: Development in newborns with and without injury","year":2002,"lang":"en","type":"article","venue":"Journal of Magnetic Resonance Imaging","topic":"Advanced Neuroimaging Techniques and Applications","field":"Medicine","cited_by":328,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"National Center for Research Resources; National Institute of Neurological Disorders and Stroke; Canadian Institutes of Health Research; National Institutes of Health","keywords":"White matter; Diffusion MRI; Fractional anisotropy; Magnetic resonance imaging; Medicine; Effective diffusion coefficient; Radiology","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005440305,0.0003206065,0.0003296992,0.0008725783,0.0002514034,0.0003028374,0.0002144563,0.0003235361,0.000418988],"category_scores_gemma":[0.005014834,0.0001402638,0.000188744,0.0003279996,0.0003148525,0.0003383258,0.0002629887,0.0002746659,0.0001392424],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002818943,"about_ca_system_score_gemma":0.0002200709,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001805415,"about_ca_topic_score_gemma":0.001197885,"domain_scores_codex":[0.9998034,0.00004621427,0.00002764461,0.0000482953,0.00004481351,0.00002970728],"domain_scores_gemma":[0.9986886,0.0002682478,0.000565185,0.00007512415,0.0001965455,0.0002063287],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0003997415,0.00002935683,0.9870595,0.00002641846,0.00002268598,0.001504746,0.000318489,0.00007398643,0.005083043,0.0000227436,0.00005168446,0.005407623],"study_design_scores_gemma":[0.00000402334,0.0004156189,0.9943711,0.00000718998,0.0000160284,0.003789986,0.0001412522,0.000098249,0.001026009,0.00001911409,0.0001071856,0.000004236283],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9996941,0.0001079819,0.0000632548,0.000006443036,0.000001616221,0.000002568743,0.00005860404,0.000002051696,0.00006323718],"genre_scores_gemma":[0.9994754,0.0001174538,0.0001728665,0.000007227563,0.000004246896,0.000008766152,0.0001414397,0.000001861833,0.00007069822],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001805415,"threshold_uncertainty_score":0.003589809,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0266579262998272,"score_gpt":0.3054010355089881,"score_spread":0.2787431092091608,"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."}}