{"id":"W4365140342","doi":"10.1162/netn_a_00318","title":"Resolving inter-regional communication capacity in the human connectome","year":2023,"lang":"en","type":"article","venue":"Network Neuroscience","topic":"Cardiovascular Health and Risk Factors","field":"Medicine","cited_by":5,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University; Montreal Neurological Institute and Hospital","funders":"Fonds de recherche du Québec – Nature et technologies; Canadian Institutes of Health Research; Fondation Brain Canada; Natural Sciences and Engineering Research Council of Canada; Canada Research Chairs; Michael J. Fox Foundation for Parkinson's Research","keywords":"Connectome; Computer science; Neuroscience; Psychology; 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":[0.001309046,0.00007172962,0.0001377752,0.00007971465,0.0003422078,0.00002754004,0.0002860038,0.00004073989,0.000004905537],"category_scores_gemma":[0.00018093,0.00004875266,0.000082322,0.001156388,0.0002135975,0.00006082906,0.00007068379,0.0003708754,0.00001699175],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003202414,"about_ca_system_score_gemma":0.0000421754,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002372652,"about_ca_topic_score_gemma":0.0001768991,"domain_scores_codex":[0.9987367,0.0002299975,0.0001710979,0.0002056796,0.0003329909,0.0003235365],"domain_scores_gemma":[0.9991245,0.0002001055,0.00004163396,0.000533457,0.00002606328,0.00007421714],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001031667,0.0002548292,0.8196658,0.0001791597,0.00001409295,0.000341684,0.007296089,0.005696568,0.00967907,0.009297082,0.136989,0.01048348],"study_design_scores_gemma":[0.00033764,0.00006027233,0.9387869,0.0000832626,0.000007757327,0.00008812125,0.00012169,0.002936591,0.00001574823,0.0003019026,0.05719601,0.0000641328],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9947881,0.0001655852,0.00006725532,0.003566548,0.0002695077,0.0002750343,0.000001093672,0.00007625261,0.0007906661],"genre_scores_gemma":[0.9956707,0.0002742005,0.00003558736,0.003739339,0.0001640699,0.00001790455,0.000009078448,0.000006737941,0.00008236161],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1191211,"threshold_uncertainty_score":0.263202,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1344992743953778,"score_gpt":0.3393799374642668,"score_spread":0.204880663068889,"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."}}