{"id":"W3091774503","doi":"10.1016/j.neuroimage.2021.118502","title":"Tractography dissection variability: What happens when 42 groups dissect 14 white matter bundles on the same dataset?","year":2021,"lang":"en","type":"article","venue":"NeuroImage","topic":"Advanced Neuroimaging Techniques and Applications","field":"Medicine","cited_by":187,"is_retracted":false,"has_abstract":true,"ca_institutions":"Centre for Addiction and Mental Health; University of Calgary; Université de Sherbrooke","funders":"National Institute of Child Health and Human Development; National Institute of Biomedical Imaging and Bioengineering; National Institute of Neurological Disorders and Stroke; Eunice Kennedy Shriver National Institute of Child Health and Human Development; Fundação para a Ciência e a Tecnologia; National Health and Medical Research Council; Australian Research Council; Medical Research Council; Intellectual and Developmental Disabilities Research Center; National Institutes of Health; Deutsche Forschungsgemeinschaft; State Government of Victoria; Natural Sciences and Engineering Research Council of Canada; Ministry of Science and Technology, Taiwan; Schweizerischer Nationalfonds zur Förderung der Wissenschaftlichen Forschung; Nederlandse Organisatie voor Wetenschappelijk Onderzoek; University of Melbourne; University of Nottingham; European Commission; Vanderbilt Institute for Clinical and Translational Research; Murdoch Children's Research Institute; Children’s Hospital of Wisconsin Research Institute; National Institute on Aging; Royal Children's Hospital Foundation; National Institute for Health and Care Research; Waisman Center; Wellcome Trust; Université de Sherbrooke; National Science Foundation; Compute Canada; Vanderbilt University; Consejo Nacional de Ciencia y Tecnología; National Center for Research Resources; Agence Nationale de la Recherche; Agencia Nacional de Investigación y Desarrollo; National Institute of Mental Health; Children's Hospital Foundation","keywords":"Tractography; Segmentation; White matter; Diffusion MRI; Bundle; Computer science; Artificial intelligence; Fiber bundle; Medicine; Radiology; Magnetic resonance imaging","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":["metaresearch"],"consensus_categories":[],"category_scores_codex":[0.05585322,0.0008010746,0.001220265,0.002492065,0.00156072,0.002575694,0.001252569,0.00145828,0.000760397],"category_scores_gemma":[0.1691531,0.0004970813,0.001394308,0.002109977,0.002856023,0.002338664,0.003113815,0.001336655,0.0005927837],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0009279064,"about_ca_system_score_gemma":0.0009539657,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001950976,"about_ca_topic_score_gemma":0.002908629,"domain_scores_codex":[0.9499325,0.02001273,0.006154138,0.01502271,0.007800871,0.001077074],"domain_scores_gemma":[0.8282306,0.108662,0.0185958,0.02550492,0.01729815,0.001708545],"domain_codex":null,"domain_gemma":"methods","domain_candidate":"methods","domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.002751,0.0003281642,0.696866,0.001363001,0.00381351,0.000673885,0.01897565,0.01498038,0.02091508,0.003658589,0.01017224,0.2255024],"study_design_scores_gemma":[0.0002540419,0.001078698,0.8671554,0.0008069104,0.001544038,0.002633678,0.007661754,0.04682631,0.01880015,0.0330772,0.01979646,0.0003654136],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8574393,0.003338483,0.1303686,0.001274963,0.0005302828,0.0005267952,0.002034782,0.001207494,0.003279215],"genre_scores_gemma":[0.9685963,0.0002856994,0.026428,0.0003643956,0.0001283072,0.0003789405,0.002859928,0.0005432154,0.0004150486],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.9441468,"threshold_uncertainty_score":0.2953836,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05183784141295804,"score_gpt":0.3204624886167076,"score_spread":0.2686246472037496,"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."}}