{"id":"W2797497970","doi":"10.1101/296913","title":"Unique mapping of structural and functional connectivity on cognition","year":2018,"lang":"en","type":"preprint","venue":"bioRxiv (Cold Spring Harbor Laboratory)","topic":"Functional Brain Connectivity Studies","field":"Neuroscience","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"Baycrest Hospital","funders":"Natural Sciences and Engineering Research Council of Canada; NIH Blueprint for Neuroscience Research; McDonnell Center for Systems Neuroscience; National Institutes of Health","keywords":"Human Connectome Project; Cognition; Connectome; Set (abstract data type); Spatial cognition; Psychology; Neuroscience; Cognitive psychology; Association (psychology); Functional connectivity; Computer science","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003497492,0.0001957835,0.0002693633,0.0009828635,0.0002118131,0.0003789632,0.0001252161,0.0002306118,0.002556569],"category_scores_gemma":[0.002046817,0.00009858752,0.0001387368,0.0006281132,0.0005591079,0.0003216205,0.0004672623,0.00022756,0.0001369265],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001249236,"about_ca_system_score_gemma":0.00009628201,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001792467,"about_ca_topic_score_gemma":0.003813385,"domain_scores_codex":[0.9998161,0.00004180858,0.0000117653,0.00007255927,0.00003501861,0.0000227395],"domain_scores_gemma":[0.9990386,0.0004318648,0.0002200471,0.0001334212,0.00008672084,0.00008937763],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0007613592,0.00009435245,0.8180038,0.0001905561,0.000590181,0.0004950624,0.001163543,0.002077289,0.1385392,0.001238929,0.0006804685,0.03616523],"study_design_scores_gemma":[0.000003686873,0.00003682855,0.9974084,0.000003992644,0.00001742577,0.0002363137,0.00007371715,0.0006131344,0.0009086352,0.0005959384,0.00009720786,0.000004518622],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9981931,0.0000745732,0.0007791948,0.00001976732,0.000001521814,0.000004217505,0.0003220799,0.000009728707,0.0005958152],"genre_scores_gemma":[0.9994038,0.00002581481,0.0002796587,0.000005889998,0.00000386546,0.000004421353,0.0001664127,0.000004281307,0.0001058643],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.002556569,"threshold_uncertainty_score":0.008552551,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03858396843735792,"score_gpt":0.2364968123729585,"score_spread":0.1979128439356005,"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."}}