{"id":"W4288740288","doi":"10.1016/j.tics.2022.07.001","title":"Closing the mechanistic gap: the value of microarchitecture in understanding cognitive networks","year":2022,"lang":"en","type":"review","venue":"Trends in Cognitive Sciences","topic":"Functional Brain Connectivity Studies","field":"Neuroscience","cited_by":59,"is_retracted":false,"has_abstract":false,"ca_institutions":"Queen's University; McGill University; Montreal Neurological Institute and Hospital","funders":"Canadian Institutes of Health Research","keywords":"Cognition; Cognitive science; Default mode network; Perspective (graphical); Psychology; Cognitive neuroscience; Mechanism (biology); Neuroscience; Cognitive architecture; Cognitive psychology; Computer science; Artificial intelligence","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":[0.001256964,0.001264152,0.001776929,0.002039461,0.0002567806,0.001721882,0.0015921,0.002112625,0.002768107],"category_scores_gemma":[0.001846073,0.0003089118,0.0004709485,0.002060327,0.001929487,0.003283486,0.001001757,0.003186527,0.001213359],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001112276,"about_ca_system_score_gemma":0.001882178,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002037418,"about_ca_topic_score_gemma":0.003458738,"domain_scores_codex":[0.999827,0.00003940709,0.00002023421,0.00004759585,0.00005081858,0.00001501192],"domain_scores_gemma":[0.9989667,0.0006675791,0.00008049336,0.00003406639,0.0001966344,0.00005452076],"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":[0.0001006442,0.00004226964,0.0003386846,0.01255845,0.0002273817,0.0001931984,0.00007318327,0.0009980927,0.002236363,0.02644894,0.03059646,0.9261863],"study_design_scores_gemma":[0.00003651112,0.00009663055,0.00241221,0.008101719,0.0003424397,0.001452755,0.0001632442,0.0007392441,0.0009936234,0.06676691,0.9188145,0.00008033301],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.00007803242,0.9974924,0.0005356059,0.001175491,0.0002105231,0.000001665241,0.00001586005,0.000007547788,0.0004829154],"genre_scores_gemma":[0.0009172264,0.9973354,0.0005080822,0.0004817882,0.0004884902,0.000005269511,0.00002129127,0.00000264853,0.0002398253],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.002768107,"threshold_uncertainty_score":0.009260237,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.4874511214778556,"score_gpt":0.4461330746070541,"score_spread":0.04131804687080154,"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."}}