{"id":"W2386426230","doi":"","title":"Functional MRI for changed brain default mode network in ischemic stroke patients","year":2015,"lang":"en","type":"article","venue":"Zhonghua laonian xin-nao-xueguanbing zazhi","topic":"Functional Brain Connectivity Studies","field":"Neuroscience","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Default mode network; Posterior cingulate; Precuneus; Medicine; Montreal Cognitive Assessment; Stroke (engine); Prefrontal cortex; Cardiology; Internal medicine; Anterior cingulate cortex; Functional magnetic resonance imaging; Neuroscience; Cognition; Psychology; Cognitive impairment; Psychiatry; Radiology","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"],"consensus_categories":[],"category_scores_codex":[0.000818101,0.0005643897,0.0006138882,0.0003435416,0.0005617354,0.0001498309,0.0005040482,0.0002530451,0.00004547924],"category_scores_gemma":[0.008894565,0.0005921831,0.000245513,0.0009437035,0.0002436456,0.0006516099,0.0003629855,0.0005732308,0.0002048824],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004747898,"about_ca_system_score_gemma":0.0002567195,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001303909,"about_ca_topic_score_gemma":0.0005847929,"domain_scores_codex":[0.9953877,0.0003007278,0.0006439014,0.001393782,0.0009937185,0.001280218],"domain_scores_gemma":[0.9942448,0.004279824,0.0003024859,0.0006007826,0.0002388018,0.0003333354],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.002065796,0.001232833,0.08595202,0.0001691976,0.0001393419,0.00004969702,0.002813851,0.04017303,0.05724244,0.002719694,0.8009116,0.006530469],"study_design_scores_gemma":[0.03927273,0.003275263,0.1008404,0.0009425037,0.0002210192,0.000116816,0.001736469,0.07932606,0.1013065,0.01020496,0.6569712,0.005786082],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9613016,0.0002363126,0.005441103,0.01633652,0.005050297,0.002184961,0.0004473286,0.0005513519,0.008450489],"genre_scores_gemma":[0.9856296,0.00001136025,0.001472281,0.007690908,0.00126393,0.0005035626,0.00007692243,0.0001292713,0.003222181],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1439405,"threshold_uncertainty_score":0.999653,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06100191526693528,"score_gpt":0.2776194238061823,"score_spread":0.2166175085392471,"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."}}