{"id":"W2899147621","doi":"10.1016/j.pscychresns.2018.11.003","title":"Episodic memory in mild cognitive impairment inversely correlates with the global modularity of the cerebral blood flow network","year":2018,"lang":"en","type":"article","venue":"Psychiatry Research Neuroimaging","topic":"Functional Brain Connectivity Studies","field":"Neuroscience","cited_by":16,"is_retracted":false,"has_abstract":false,"ca_institutions":"Montreal Neurological Institute and Hospital","funders":"","keywords":"Modularity (biology); Correlation; Cerebral blood flow; Episodic memory; Cognitive impairment; Biomarker; Cognition; Computer science; Psychology; Medicine; Neuroscience; Artificial intelligence; Internal medicine; Mathematics; Biology","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001543013,0.000226651,0.000225536,0.0001014648,0.001143263,0.00008854895,0.0007397145,0.00004526379,0.00003014515],"category_scores_gemma":[0.002675266,0.0001380206,0.0001037663,0.002277792,0.002429852,0.0002223104,0.0007401242,0.001042273,0.00002946405],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00008758917,"about_ca_system_score_gemma":0.0003424339,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002497487,"about_ca_topic_score_gemma":0.001260883,"domain_scores_codex":[0.9953107,0.001598768,0.0002607448,0.0007763997,0.001198601,0.0008547555],"domain_scores_gemma":[0.9957159,0.003249177,0.0001229486,0.0005643818,0.0002571716,0.00009047984],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0006450871,0.0004558776,0.9833455,0.00005333258,0.00004907636,0.0000183826,0.0006703386,0.0007724082,0.0005418191,0.001918849,0.01117698,0.0003523387],"study_design_scores_gemma":[0.003140964,0.001134756,0.9531359,0.0004372042,0.00006636869,0.0001467481,0.001666325,0.02036095,0.003079736,0.01622557,0.0002491873,0.0003562922],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9548849,0.0002015367,0.00004593527,0.03919134,0.001143154,0.0009438206,0.00003611256,0.00004601416,0.003507156],"genre_scores_gemma":[0.9952593,0.00001425974,0.0001417085,0.004015232,0.0004080267,0.00005912986,5.947426e-7,0.00002403869,0.00007770066],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.04037438,"threshold_uncertainty_score":0.8952893,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05528637571643347,"score_gpt":0.3200314214149467,"score_spread":0.2647450456985133,"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."}}