{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002167734,0.0002588165,0.000265914,0.00008400041,0.0002516377,0.000241167,0.000215422,0.00006618843,0.0008120948],"category_scores_gemma":[0.0001637888,0.0001921363,0.0001675637,0.0003819356,0.0001604948,0.0004134286,0.0001199727,0.0006205546,0.0001356443],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002849485,"about_ca_system_score_gemma":0.0000272199,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000008130552,"about_ca_topic_score_gemma":0.000009574601,"domain_scores_codex":[0.9981815,0.0001677707,0.0003012646,0.0007405134,0.0002925332,0.0003164581],"domain_scores_gemma":[0.9977635,0.0003705732,0.0001008792,0.001555576,0.00008476127,0.0001247101],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"observational","study_design_scores_codex":[0.0006244169,0.004533943,0.1771835,0.0004871528,0.0001821577,0.001118258,0.001126555,0.00002538414,0.3402604,0.01854912,0.4370777,0.01883136],"study_design_scores_gemma":[0.001021295,0.0004789149,0.5847583,0.0003977426,0.0003533566,0.001238478,0.0005072549,0.0003448355,0.03134305,0.02418772,0.3546159,0.000753161],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7479709,0.0002228625,0.0282503,0.2053271,0.0007639928,0.002553897,0.001240693,0.001087148,0.01258304],"genre_scores_gemma":[0.9731454,0.0002947113,0.003109947,0.02076965,0.0002258615,0.0001873824,0.001281768,0.0000955174,0.0008897311],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4075747,"threshold_uncertainty_score":0.8891869,"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."}}