{"id":"W2093884520","doi":"10.1161/01.str.0000204237.66466.5f","title":"Cerebral Microhemorrhages Predict New Disabling or Fatal Strokes in Patients With Acute Ischemic Stroke or Transient Ischemic Attack","year":2006,"lang":"en","type":"article","venue":"Stroke","topic":"Intracerebral and Subarachnoid Hemorrhage Research","field":"Medicine","cited_by":112,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Calgary","funders":"Canadian Institutes of Health Research; Fondation pour la Recherche Médicale; Heart and Stroke Foundation of Canada","keywords":"Medicine; Stroke (engine); Intracerebral hemorrhage; Ischemic stroke; Magnetic resonance imaging; Cardiology; Internal medicine; Vascular disease; Ischemia; Radiology; Subarachnoid hemorrhage","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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0001719585,0.0005768375,0.0008041548,0.0003493801,0.0001531809,0.00009723083,0.0003644415,0.0002914756,0.001176362],"category_scores_gemma":[0.00006675587,0.0003711349,0.00021136,0.0005080389,0.0002208653,0.000417202,0.0001070723,0.001033381,0.00009168296],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002869395,"about_ca_system_score_gemma":0.0006533398,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0004121858,"about_ca_topic_score_gemma":0.0003985971,"domain_scores_codex":[0.995989,0.00004914522,0.0007173957,0.0008393998,0.001082966,0.00132211],"domain_scores_gemma":[0.9985771,0.00009783672,0.0001412163,0.0005862682,0.0001754215,0.0004222284],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.02560249,0.001871563,0.785457,0.0008116321,0.0004759535,0.001504367,0.0005498386,0.00009812306,0.08274659,0.00001282891,0.07169978,0.02916987],"study_design_scores_gemma":[0.09410362,0.01023553,0.4144354,0.001787031,0.001718489,0.001086971,0.002902405,0.01570087,0.4333339,0.00000662013,0.0210747,0.003614513],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9894653,0.0001923124,0.0004084554,0.0006226057,0.0001382351,0.001209348,0.0006991334,0.0001569528,0.00710764],"genre_scores_gemma":[0.9225119,0.00002347017,0.009551904,0.0001138795,0.0005602709,0.00004856116,0.0006067734,0.0001014579,0.06648183],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3710216,"threshold_uncertainty_score":0.9998741,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01453884546550595,"score_gpt":0.2669837504288804,"score_spread":0.2524449049633745,"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."}}