{"id":"W4283799818","doi":"10.1016/j.pneurobio.2022.102314","title":"Frontopolar cortex shapes brain network structure across prefrontal and posterior cingulate cortex","year":2022,"lang":"en","type":"article","venue":"Progress in Neurobiology","topic":"Functional Brain Connectivity Studies","field":"Neuroscience","cited_by":14,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto; The Scarborough Hospital","funders":"Biotechnology and Biological Sciences Research Council; Medical Research Council; Wellcome Trust","keywords":"Ventrolateral prefrontal cortex; Neuroscience; Prefrontal cortex; Functional specialization; Posterior cingulate; Cortex (anatomy); Cingulate cortex; Psychology; Anterior cingulate cortex; Central nervous system; Cognition","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":[0.00007829739,0.0001606236,0.0001394519,0.0003013555,0.0001913798,0.0003271839,0.0001849346,0.0002028531,0.0009646905],"category_scores_gemma":[0.0005520694,0.0001811915,0.0001352129,0.0001390296,0.0004127641,0.0003892491,0.0002610073,0.0002140155,0.0000770044],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004525667,"about_ca_system_score_gemma":0.000274422,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.006041972,"about_ca_topic_score_gemma":0.01087174,"domain_scores_codex":[0.9999274,0.00001263949,0.000002348188,0.00002527944,0.00001322347,0.00001901796],"domain_scores_gemma":[0.9998691,0.00003456816,0.00004141874,0.00001750011,0.00001407904,0.0000233629],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","study_design_scores_codex":[0.0002672066,0.00004700997,0.0203392,0.00006146642,0.00008635488,0.0002852339,0.0004676254,0.003884825,0.9598361,0.001660222,0.0003331909,0.01273148],"study_design_scores_gemma":[0.00003148902,0.0001872134,0.9217582,0.00001806012,0.00008207422,0.0007110438,0.0003175012,0.02054248,0.05053993,0.00441426,0.001373298,0.00002445851],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9957411,0.00008014497,0.002796494,0.00005114151,0.000002442439,0.000007375591,0.00008007079,0.00003470551,0.001206352],"genre_scores_gemma":[0.9986985,0.0000482828,0.0009363422,0.00001096997,0.000001428043,0.000008663193,0.00006649023,0.00000771906,0.0002217233],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.006041972,"threshold_uncertainty_score":0.01201361,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01529989938548626,"score_gpt":0.2751187085073951,"score_spread":0.2598188091219089,"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."}}