{"id":"W4399893580","doi":"10.1016/b978-0-443-13480-7.00001-6","title":"Dynamic brain network models: How interactions in the structural connectome shape brain dynamics","year":2024,"lang":"en","type":"book-chapter","venue":"Elsevier eBooks","topic":"Functional Brain Connectivity Studies","field":"Neuroscience","cited_by":2,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Toronto; Centre for Addiction and Mental Health","funders":"","keywords":"Connectome; Neuroscience; Dynamics (music); Computer science; Psychology; Functional connectivity","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":[0.000295167,0.0007922371,0.0004499056,0.0005873023,0.0002645716,0.001305502,0.0007450826,0.001201532,0.007695502],"category_scores_gemma":[0.001349563,0.0004771747,0.0005359871,0.0007227042,0.0008583443,0.002365655,0.0005390458,0.001207952,0.001272582],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006281575,"about_ca_system_score_gemma":0.0003039359,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002181842,"about_ca_topic_score_gemma":0.003308941,"domain_scores_codex":[0.9999305,0.00002092712,0.000002190041,0.00002403869,0.000017591,0.000004706611],"domain_scores_gemma":[0.9996955,0.0002167702,0.0000244048,0.00002273979,0.00002215755,0.00001833986],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00002633928,0.00002243632,0.0005520888,0.0001822128,0.0000782232,0.0001533466,0.0001623991,0.2108524,0.005508663,0.6946384,0.0243369,0.06348652],"study_design_scores_gemma":[0.000004877507,0.00001269938,0.0005295065,0.00004531863,0.00001968999,0.0001430591,0.00002867619,0.3003308,0.0003721932,0.6806495,0.0178446,0.00001906164],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.01937028,0.01361797,0.8619589,0.007288445,0.0007701605,0.00002447576,0.0008324864,0.000777434,0.09535988],"genre_scores_gemma":[0.6145745,0.03553102,0.2435026,0.001261911,0.001968663,0.0002782381,0.0009862407,0.001136996,0.1007598],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.007695502,"threshold_uncertainty_score":0.02574402,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03694766467529718,"score_gpt":0.2766944104153971,"score_spread":0.2397467457400999,"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."}}