{"id":"W4200194650","doi":"10.1212/wnl.0000000000013165","title":"Mitochondrial DNA Copy Number as a Marker and Mediator of Stroke Prognosis","year":2021,"lang":"en","type":"article","venue":"Neurology","topic":"Mitochondrial Function and Pathology","field":"Biochemistry, Genetics and Molecular Biology","cited_by":27,"is_retracted":false,"has_abstract":true,"ca_institutions":"McMaster University; Impact; Thrombosis and Atherosclerosis Research Institute","funders":"Canadian Institutes of Health Research","keywords":"Buffy coat; Mendelian randomization; Stroke (engine); Odds ratio; Medicine; Confidence interval; Internal medicine; Mitochondrial DNA; Genetics; Genotype; Biology; Surgery; Genetic variants; Gene","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001691886,0.0003767497,0.0002707885,0.0006633148,0.0003354483,0.0006006495,0.0004693889,0.0005603974,0.00196742],"category_scores_gemma":[0.004176455,0.0001517224,0.0003654869,0.0006769452,0.0006500388,0.0003479303,0.0004437626,0.0004119867,0.0001695208],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002568049,"about_ca_system_score_gemma":0.0002350152,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003615428,"about_ca_topic_score_gemma":0.00204112,"domain_scores_codex":[0.9994443,0.0002526987,0.00005072361,0.0001403958,0.00005532534,0.00005650819],"domain_scores_gemma":[0.9966299,0.001152244,0.001559289,0.0002592618,0.0001336174,0.0002656959],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0007638294,0.00003344022,0.9961156,0.00001473766,0.0001533946,0.0001014594,0.00004261452,0.0001712011,0.0008901441,0.00004057404,0.00007063959,0.001602446],"study_design_scores_gemma":[0.00003276606,0.0001785895,0.9978091,0.000009018016,0.0001114718,0.0003031496,0.00005623734,0.0006072874,0.000593033,0.0001798859,0.0001130797,0.000006355595],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9983505,0.0004732604,0.0003911418,0.0001053074,0.000007326093,0.00001044511,0.000348162,0.00000755086,0.0003062717],"genre_scores_gemma":[0.9995283,0.00005105748,0.0001993779,0.00001657427,0.00001184226,0.000004277387,0.0001240791,0.000001529029,0.0000630261],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.003615428,"threshold_uncertainty_score":0.00894767,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.007256071084982,"score_gpt":0.238306048229038,"score_spread":0.231049977144056,"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."}}