{"id":"W4280517425","doi":"10.2174/1567202619666220516124552","title":"Irregular Baseline Brain Activity in Coronary Artery Disease Patients withCognitive Impairment: A Resting-state Functional Magnetic ResonanceImaging Study","year":2022,"lang":"en","type":"article","venue":"Current Neurovascular Research","topic":"Functional Brain Connectivity Studies","field":"Neuroscience","cited_by":8,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Medical Science and Technology Project of Zhejiang Province","keywords":"Supramarginal gyrus; Resting state fMRI; Cardiology; Medicine; Precuneus; Internal medicine; Functional magnetic resonance imaging; Coronary artery disease; Montreal Cognitive Assessment; Cingulum (brain); Angular gyrus; Cognitive decline; Magnetic resonance imaging; Audiology; Radiology; Cognitive impairment; Disease; Fractional anisotropy; Diffusion MRI; Dementia","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaresearch","metaepi_narrow","sts"],"consensus_categories":[],"category_scores_codex":[0.004191294,0.0003905031,0.0003738075,0.0009776242,0.001689822,0.0001279103,0.0005586765,0.00001986353,0.000222169],"category_scores_gemma":[0.01698961,0.000425395,0.0002095972,0.002434483,0.0004512381,0.0004520738,0.002060337,0.002008378,0.00006916725],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005708042,"about_ca_system_score_gemma":0.0004015739,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00004773425,"about_ca_topic_score_gemma":0.00004246686,"domain_scores_codex":[0.9848001,0.007844204,0.0004427954,0.001993281,0.003816531,0.001103094],"domain_scores_gemma":[0.9910459,0.007375254,0.0001159396,0.0008177215,0.0003392163,0.0003059514],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.005917226,0.02187547,0.8584083,0.0002173048,0.00005862752,0.003071093,0.001793889,0.003673148,0.004654195,0.0000512036,0.01054403,0.08973549],"study_design_scores_gemma":[0.004705354,0.001885043,0.9790701,0.00006473166,0.00002268685,0.00003059865,0.0003845087,0.007595744,0.0001537737,0.0005926211,0.005060158,0.0004346999],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9921701,0.0006078104,0.00006241859,0.002794866,0.000881074,0.003132132,0.0001795966,0.0001182967,0.00005369939],"genre_scores_gemma":[0.9970887,0.00004913015,0.000004573456,0.0005633493,0.000112859,0.001812604,0.0000345133,0.00007353881,0.0002607388],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1206618,"threshold_uncertainty_score":0.9998198,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.08737789685225196,"score_gpt":0.33340930106618,"score_spread":0.2460314042139281,"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."}}