{"id":"W2570338771","doi":"10.1002/hbm.23506","title":"Mapping complementary features of cross‐species structural connectivity to construct realistic “Virtual Brains”","year":2017,"lang":"en","type":"article","venue":"Human Brain Mapping","topic":"Functional Brain Connectivity Studies","field":"Neuroscience","cited_by":33,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University; Baycrest Hospital; University of Toronto; Montreal Neurological Institute and Hospital","funders":"Boston College","keywords":"Construct (python library); Neuroscience; Connectome; Functional connectivity; Computer science; Psychology; Cognitive science; Biology; Computer network","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":[0.0005159916,0.0005206577,0.0002732422,0.000801359,0.0003175236,0.0007395102,0.0006395482,0.000584309,0.002326068],"category_scores_gemma":[0.001990934,0.0003994135,0.0005857786,0.0003716316,0.0009044782,0.001118114,0.00116811,0.0006235241,0.0002564804],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003594859,"about_ca_system_score_gemma":0.0005319676,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001261197,"about_ca_topic_score_gemma":0.002224866,"domain_scores_codex":[0.9998754,0.00006031523,0.000005079136,0.00002611242,0.00002497003,0.000008062204],"domain_scores_gemma":[0.9996207,0.0001952728,0.00005236216,0.00008043206,0.00002004439,0.00003122325],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00007047135,0.00005643394,0.00246975,0.0001736975,0.0001746268,0.0004017667,0.0005900047,0.8116188,0.07168233,0.07155577,0.00115544,0.04005091],"study_design_scores_gemma":[0.00001318625,0.00006379126,0.00232947,0.00002282193,0.00003392979,0.0004637592,0.00008743154,0.9169068,0.006079016,0.06992801,0.004045972,0.00002586604],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.08897953,0.0001588333,0.9058813,0.0002574684,0.00002692868,0.00004364938,0.0001550916,0.00046129,0.004035857],"genre_scores_gemma":[0.7939499,0.0002906843,0.2041551,0.00005792584,0.00001389959,0.0001506507,0.0002528351,0.0001991935,0.0009296729],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.002326068,"threshold_uncertainty_score":0.007781506,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.102014140581759,"score_gpt":0.3442160519773628,"score_spread":0.2422019113956038,"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."}}