{"id":"W2587158556","doi":"10.1016/j.neulet.2017.02.015","title":"Abnormal cortical functional activity in patients with ischemic white matter lesions: A resting-state functional magnetic resonance imaging study","year":2017,"lang":"en","type":"article","venue":"Neuroscience Letters","topic":"Functional Brain Connectivity Studies","field":"Neuroscience","cited_by":18,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"Health Department of Sichuan Province; National Natural Science Foundation of China","keywords":"Default mode network; Hyperintensity; Resting state fMRI; Functional magnetic resonance imaging; Cognition; Montreal Cognitive Assessment; Task-positive network; Neuroscience; Neuroimaging; Audiology; Magnetic resonance imaging; Psychology; White matter; Medicine; Cardiology; Cognitive impairment; 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":["metaepi_narrow","sts"],"consensus_categories":[],"category_scores_codex":[0.0004339165,0.0003707954,0.0002828532,0.0002486192,0.001930418,0.0004298884,0.0006414511,0.00003212051,0.0000659185],"category_scores_gemma":[0.004230694,0.000328824,0.00006363037,0.0004412329,0.001250704,0.001721008,0.0005160671,0.0007311635,0.0000868666],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001476683,"about_ca_system_score_gemma":0.00008646921,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00005033366,"about_ca_topic_score_gemma":0.0000673763,"domain_scores_codex":[0.9956525,0.0002860755,0.0003244155,0.001568462,0.001379016,0.0007895578],"domain_scores_gemma":[0.9975685,0.001102766,0.0002548265,0.0008465245,0.0000860221,0.0001413825],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0005752477,0.0005094124,0.9481938,0.00000592985,7.702023e-7,0.0001057381,0.00009268148,0.0004722296,0.04575594,0.000005476291,0.003485576,0.0007972205],"study_design_scores_gemma":[0.001990812,0.0002892555,0.9947137,0.00003372127,0.00000871749,0.00002783933,0.00002100012,0.0009734341,0.001061379,0.00001092731,0.0005134036,0.0003557721],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9856465,0.000006761335,0.0003270816,0.0117612,0.001063418,0.0006575418,0.00002770939,0.00008432676,0.0004254493],"genre_scores_gemma":[0.98261,0.000001202719,0.00004801788,0.01672435,0.0000849916,0.0001190666,8.929029e-7,0.00003516666,0.0003762667],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.04651996,"threshold_uncertainty_score":0.9999164,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02869630427666984,"score_gpt":0.2450683836623251,"score_spread":0.2163720793856553,"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."}}