{"id":"W2795886542","doi":"10.1111/jon.12512","title":"Incidence and Etiology of Microinfarcts in Patients with Ischemic Stroke","year":2018,"lang":"en","type":"article","venue":"Journal of Neuroimaging","topic":"Intracerebral and Subarachnoid Hemorrhage Research","field":"Medicine","cited_by":14,"is_retracted":false,"has_abstract":true,"ca_institutions":"McMaster University; Population Health Research Institute","funders":"NIH Clinical Center; National Institute of Neurological Disorders and Stroke","keywords":"Medicine; Etiology; Incidence (geometry); Hyperintensity; Cardiology; Stroke (engine); Internal medicine; Cohort; Disease; Ischemic stroke; Pathogenesis; Magnetic resonance imaging; Radiology; Ischemia","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":[0.0002145835,0.0000603838,0.0002167511,0.0002037906,0.00001925385,0.000005933328,0.00006339989,0.00002379271,0.00002394831],"category_scores_gemma":[0.0001599253,0.00004127269,0.00002319905,0.0001114823,0.0001760741,0.0001207338,0.00003680398,0.0003341625,0.000001642577],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002025399,"about_ca_system_score_gemma":0.000079391,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000008832914,"about_ca_topic_score_gemma":0.000002339885,"domain_scores_codex":[0.9992642,0.00003226437,0.0002578633,0.00008248769,0.0002112695,0.000151936],"domain_scores_gemma":[0.9993192,0.00004978546,0.0001487656,0.0000783849,0.0003375377,0.00006634184],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0006992188,0.00006476087,0.8670689,0.000054324,0.000008400788,0.0001058247,0.0001582492,5.108375e-7,0.1237068,0.000003214971,0.0001371909,0.007992587],"study_design_scores_gemma":[0.002388594,0.001709681,0.9747746,0.0001972577,0.00001992846,0.0006402984,0.00005793296,0.0006959054,0.01936219,0.00001236088,0.00009057821,0.00005066164],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9984261,0.0000937806,0.00004212818,0.0008662274,0.00003558846,0.00006745727,9.333947e-7,0.000001774449,0.0004660137],"genre_scores_gemma":[0.99687,0.00001950807,0.002794557,0.0001889468,0.00007108663,1.983188e-7,3.11726e-7,0.000006989818,0.00004836756],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1077057,"threshold_uncertainty_score":0.1683051,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.009203723509324403,"score_gpt":0.2677499369038371,"score_spread":0.2585462133945127,"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."}}