{"id":"W2914526872","doi":"10.1177/1971400919825862","title":"Cognitive functions and white matter lesions on magnetic resonance images in a sample of normal Iranian population with cardiovascular risk factors","year":2019,"lang":"en","type":"article","venue":"The Neuroradiology Journal","topic":"Dementia and Cognitive Impairment Research","field":"Medicine","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Magnetic resonance imaging; Cognition; Sample (material); White matter; Population; Medicine; Psychology; Internal medicine; Neuroscience; Environmental health; Radiology; Physics","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004010161,0.0004009372,0.0002639548,0.0008123334,0.0003501943,0.000324798,0.0002180971,0.0002560462,0.001120953],"category_scores_gemma":[0.001620824,0.0001838392,0.0002714296,0.0004486103,0.000288702,0.0002427922,0.0002172913,0.0002843471,0.0001294701],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001728769,"about_ca_system_score_gemma":0.0002381638,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00367253,"about_ca_topic_score_gemma":0.003463274,"domain_scores_codex":[0.9997881,0.0000486796,0.00002059088,0.00004696882,0.00005628529,0.00003935448],"domain_scores_gemma":[0.9996371,0.00005624304,0.0001572413,0.00002843542,0.00006406993,0.00005682499],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00008959321,0.00006015222,0.9978961,0.000008548705,0.00004301095,0.0001093871,0.0001231262,0.00002424959,0.000230122,0.00001322043,0.00004982791,0.001352617],"study_design_scores_gemma":[0.000005076687,0.00009318921,0.999359,0.000002082829,0.00001292263,0.0002794668,0.0001015673,0.00005921942,0.00002628533,0.00001675005,0.00004320463,0.000001220279],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9996933,0.00007546986,0.00003083884,0.00001336521,0.000002815337,0.000004865315,0.00004709003,0.000001051005,0.0001311792],"genre_scores_gemma":[0.9997059,0.00004945448,0.00005275459,0.00001541768,0.000009651782,0.000005845282,0.00009339464,4.697422e-7,0.00006722737],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.00367253,"threshold_uncertainty_score":0.007302344,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01251932510113906,"score_gpt":0.2529628268512135,"score_spread":0.2404435017500745,"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."}}