{"id":"W4211031588","doi":"10.1002/hbm.25777","title":"Tractostorm 2: Optimizing tractography dissection reproducibility with segmentation protocol dissemination","year":2022,"lang":"en","type":"article","venue":"Human Brain Mapping","topic":"Advanced Neuroimaging Techniques and Applications","field":"Medicine","cited_by":16,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University; Université de Montréal; Université de Sherbrooke","funders":"Eunice Kennedy Shriver National Institute of Child Health and Human Development; National Center for Advancing Translational Sciences; National Center for Research Resources; National Institute of Biomedical Imaging and Bioengineering; Mitacs; Fonds de Recherche du Québec - Santé; National Institute of Child Health and Human Development; Natural Sciences and Engineering Research Council of Canada; National Institute of General Medical Sciences; Vanderbilt Institute for Clinical and Translational Research; Instrumentariumin Tiedesäätiö; National Institutes of Health; Orionin Tutkimussäätiö; Emil Aaltosen Säätiö; Savoy Foundation; Fonds de recherche du Québec – Nature et technologies; Brain Research Foundation","keywords":"Tractography; Protocol (science); Computer science; Voxel; Reproducibility; Diffusion MRI; Neuroimaging; Artificial intelligence; Segmentation; Connectomics; Psychology; Connectome; Neuroscience; Magnetic resonance imaging; Medicine; Radiology; Pathology; Functional connectivity","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":[0.0005934288,0.0001281294,0.0001416627,0.0001940905,0.0007861318,0.00002746733,0.00007616393,0.00002102349,0.0001283827],"category_scores_gemma":[0.00006183681,0.0001242184,0.00006317124,0.0004936505,0.00004830453,0.0001729759,0.0000423053,0.0003290413,7.042063e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001645508,"about_ca_system_score_gemma":0.00002033,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000007575808,"about_ca_topic_score_gemma":0.000002487626,"domain_scores_codex":[0.9985542,0.00006024823,0.0002612843,0.000686485,0.0002750156,0.000162826],"domain_scores_gemma":[0.998998,0.00005684471,0.0001883239,0.0006449697,0.00005911754,0.00005276223],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","study_design_scores_codex":[0.0001748362,0.0006348243,0.01825915,0.000179285,0.00002299952,0.00001712788,0.001660835,0.0001917251,0.9660956,0.001931501,0.002075226,0.008756903],"study_design_scores_gemma":[0.003087023,0.0019589,0.8706425,0.0003433843,0.0001096413,0.000661765,0.006455937,0.001188962,0.03481933,0.004047187,0.07582363,0.0008616776],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7404823,0.000009554497,0.1364525,0.007699967,0.00005183081,0.1078132,0.00001889812,0.001539258,0.005932468],"genre_scores_gemma":[0.8913095,3.081704e-7,0.01609206,0.0002775711,0.00006556692,0.09176406,0.0001291709,0.00003366911,0.0003280733],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.9312763,"threshold_uncertainty_score":0.604637,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.07698099408215822,"score_gpt":0.3921579084499347,"score_spread":0.3151769143677765,"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."}}