{"id":"W3162365865","doi":"10.1089/brain.2020.0930","title":"Cortical Surfaces Integration with Tractography for Structural Connectivity Analysis","year":2021,"lang":"en","type":"review","venue":"Brain Connectivity","topic":"Advanced Neuroimaging Techniques and Applications","field":"Medicine","cited_by":16,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University; McGill University Health Centre; Université de Sherbrooke","funders":"","keywords":"Tractography; Diffusion MRI; White matter; Computer science; Neuroscience; Artificial intelligence; Magnetic resonance imaging; Psychology","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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0003812239,0.0005031141,0.002505552,0.0003710599,0.000230827,0.00006838137,0.0001413264,0.0002657742,0.00003575545],"category_scores_gemma":[0.001024988,0.0003669728,0.001238046,0.001854484,0.0001826443,0.0001224701,0.00004697839,0.0007220617,0.000001173076],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001223677,"about_ca_system_score_gemma":0.0002950995,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00003629149,"about_ca_topic_score_gemma":0.0001636988,"domain_scores_codex":[0.9977091,0.0002675081,0.0004552008,0.0009933031,0.0002414268,0.0003334372],"domain_scores_gemma":[0.9949508,0.003430012,0.0003878254,0.0007878675,0.0002824112,0.0001610447],"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":[0.00009064804,0.0002695633,0.0007542555,0.00305679,0.002302699,0.00003121738,0.00003383264,0.000009839629,0.0000392052,0.005774124,0.0006112406,0.9870266],"study_design_scores_gemma":[0.0009842818,0.0007098255,0.005072465,0.004041357,0.02218883,0.00039305,0.0000569215,0.002155026,0.0001598953,0.0009159767,0.9621432,0.001179149],"study_design_candidate":"design_other","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.002615423,0.703674,0.2886085,0.0006395133,0.00006292992,0.003399052,0.0004498588,0.0004219698,0.0001288039],"genre_scores_gemma":[0.05579104,0.9116871,0.02793985,0.0003445927,0.0002354439,0.001691726,0.002000446,0.0001639337,0.0001458491],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.9858474,"threshold_uncertainty_score":0.9998782,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.127361485272993,"score_gpt":0.4353202302168239,"score_spread":0.3079587449438309,"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."}}