{"id":"W4281657612","doi":"10.1007/s00429-022-02518-6","title":"The influence of regions of interest on tractography virtual dissection protocols: general principles to learn and to follow","year":2022,"lang":"en","type":"article","venue":"Brain Structure and Function","topic":"Advanced Neuroimaging Techniques and Applications","field":"Medicine","cited_by":11,"is_retracted":false,"has_abstract":false,"ca_institutions":"Université de Montréal; Université de Sherbrooke","funders":"Eunice Kennedy Shriver National Institute of Child Health and Human Development; National Center for Research Resources; National Institutes of Health; National Institute of Biomedical Imaging and Bioengineering; Vanderbilt Institute for Clinical and Translational Research","keywords":"Neuroimaging; Set (abstract data type); Tractography; Neuroanatomy; Computer science; Psychology; Diffusion MRI; Data science; Cognitive psychology; Neuroscience; Medicine; Radiology","routes":{"ca_aff":true,"ca_fund":false,"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":[0.008108339,0.00145075,0.001351905,0.001117432,0.000984694,0.002961124,0.002559716,0.001690714,0.0023633],"category_scores_gemma":[0.03701231,0.001315926,0.001343088,0.0007005009,0.003719876,0.003341044,0.003102958,0.002814842,0.001046665],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008984237,"about_ca_system_score_gemma":0.002397376,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003057697,"about_ca_topic_score_gemma":0.003589042,"domain_scores_codex":[0.9970294,0.00124805,0.0002135475,0.0004794031,0.0009245073,0.0001050427],"domain_scores_gemma":[0.9854808,0.009993672,0.0009063708,0.002102985,0.001255616,0.0002605114],"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":[0.0003911581,0.0001888692,0.002881051,0.000875304,0.0002602233,0.0007547644,0.001476994,0.2616177,0.07804006,0.1954689,0.003642923,0.4544021],"study_design_scores_gemma":[0.00006004093,0.0004878159,0.002452412,0.0002288424,0.0002017644,0.001095565,0.0001651575,0.6976372,0.07234212,0.2118986,0.01330752,0.0001229073],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.001733033,0.00006214407,0.9973999,0.00005554331,0.000008787623,0.00004120517,0.00001453181,0.0001879271,0.0004968864],"genre_scores_gemma":[0.07655731,0.0004850303,0.9200587,0.00007473733,0.00005431851,0.0004049956,0.00006439333,0.0004839507,0.001816611],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.008108339,"threshold_uncertainty_score":0.04288149,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.07176942609469703,"score_gpt":0.3413579945091691,"score_spread":0.2695885684144721,"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."}}