{"id":"W2057123686","doi":"10.1016/j.bandl.2013.06.007","title":"Potential and limitations of diffusion MRI tractography for the study of language","year":2013,"lang":"en","type":"review","venue":"Brain and Language","topic":"Advanced Neuroimaging Techniques and Applications","field":"Medicine","cited_by":77,"is_retracted":false,"has_abstract":false,"ca_institutions":"Montreal Neurological Institute and Hospital; McGill University","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Tractography; Diffusion MRI; Psychology; Magnetic resonance imaging; Sensitivity (control systems); Neuroscience; Artificial intelligence; Computer science; Radiology; Medicine","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":[0.003709887,0.00137921,0.002932094,0.004011933,0.0003907039,0.00227884,0.001826543,0.002100277,0.002841406],"category_scores_gemma":[0.004105526,0.000543701,0.0009727867,0.003460691,0.002175237,0.003206515,0.001197108,0.003050184,0.001823863],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001141185,"about_ca_system_score_gemma":0.004053019,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004535313,"about_ca_topic_score_gemma":0.009583841,"domain_scores_codex":[0.9993584,0.0001499491,0.00009644567,0.0001537995,0.000199364,0.00004206843],"domain_scores_gemma":[0.9947068,0.003780235,0.0003088585,0.0001672536,0.0008864143,0.0001504249],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00007753595,0.00005179115,0.0006392707,0.01158245,0.0001829318,0.0003828004,0.00009833558,0.0004174492,0.001975511,0.006273157,0.01171388,0.9666049],"study_design_scores_gemma":[0.00005047819,0.0001920538,0.004694944,0.01122333,0.0004854258,0.008086743,0.0003122619,0.0008146791,0.002401863,0.02071351,0.9508842,0.0001405356],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.0001061738,0.99842,0.0004492709,0.0004508908,0.00008085905,0.000002269096,0.00001273864,0.000005995445,0.000471796],"genre_scores_gemma":[0.0009068473,0.997177,0.001052928,0.0002599264,0.0003139527,0.000006852597,0.00002391892,0.000003850625,0.0002547167],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.004535313,"threshold_uncertainty_score":0.01961994,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0932722955506512,"score_gpt":0.397243869124542,"score_spread":0.3039715735738908,"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."}}