{"id":"W2015629981","doi":"10.1016/j.neuroimage.2015.02.051","title":"Cerebral maturation in the early preterm period—A magnetization transfer and diffusion tensor imaging study using voxel-based analysis","year":2015,"lang":"en","type":"article","venue":"NeuroImage","topic":"Advanced Neuroimaging Techniques and Applications","field":"Medicine","cited_by":35,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Toronto; Hospital for Sick Children; SickKids Foundation","funders":"Canadian Institutes of Health Research; Hospital for Sick Children","keywords":"White matter; Diffusion MRI; Voxel; Effective diffusion coefficient; Fractional anisotropy; Magnetization transfer; Linear regression; Gestational age; Magnetic resonance imaging; Nuclear medicine; Nuclear magnetic resonance; Medicine; Physics; Radiology; Mathematics; Biology; Statistics","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":[0.0007790427,0.0005579356,0.0007245382,0.001440171,0.0007260626,0.0007404277,0.000781756,0.001111781,0.000975931],"category_scores_gemma":[0.003465388,0.0005237687,0.0004897906,0.001246834,0.001028003,0.0006527176,0.0005543616,0.001240284,0.0002646158],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006451046,"about_ca_system_score_gemma":0.0007439599,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.006279753,"about_ca_topic_score_gemma":0.003061178,"domain_scores_codex":[0.9997621,0.00005138756,0.0000252321,0.00006746636,0.00004750837,0.00004625222],"domain_scores_gemma":[0.9993216,0.0002254223,0.0001509879,0.00007061383,0.0001230691,0.0001084234],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.009553188,0.002450977,0.6874971,0.0006944116,0.000403492,0.122868,0.005856129,0.0008923141,0.1052047,0.001449134,0.001341185,0.0617892],"study_design_scores_gemma":[0.0001027451,0.00141272,0.9477577,0.00006566051,0.0002384688,0.03820605,0.001388742,0.0006788931,0.007990111,0.0007204657,0.001395322,0.00004309913],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9979963,0.0007098662,0.000354781,0.0001418135,0.00001340754,0.0000270987,0.0001670067,0.000009310081,0.0005803361],"genre_scores_gemma":[0.9978156,0.001070737,0.0005024161,0.00004909188,0.00003481484,0.00003765283,0.0001440256,0.00001058316,0.0003349081],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.006279753,"threshold_uncertainty_score":0.01248646,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0695145498264368,"score_gpt":0.3393055475365746,"score_spread":0.2697909977101378,"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."}}