{"id":"W2052595583","doi":"10.1212/01.wnl.0000252938.76188.52","title":"Acute ischemic lesions of varying ages predict risk of ischemic events in stroke/TIA patients","year":2007,"lang":"en","type":"article","venue":"Neurology","topic":"Acute Ischemic Stroke Management","field":"Medicine","cited_by":69,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Calgary","funders":"","keywords":"Medicine; Diffusion MRI; Lesion; Magnetic resonance imaging; Effective diffusion coefficient; Ischemic stroke; Stroke (engine); Radiology; Ischemia; Nuclear medicine; Internal medicine; Pathology","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000578127,0.0004375561,0.0003423076,0.0006907475,0.0003772479,0.0006637577,0.0002695678,0.000652273,0.002115024],"category_scores_gemma":[0.002850776,0.0003197067,0.0004699912,0.0004711117,0.0002501104,0.0004014795,0.0003647983,0.0006434427,0.0002866425],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001465562,"about_ca_system_score_gemma":0.000219226,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001085385,"about_ca_topic_score_gemma":0.001278689,"domain_scores_codex":[0.9997433,0.00008343397,0.00003121249,0.00005012595,0.00004480296,0.00004705818],"domain_scores_gemma":[0.9981458,0.000439487,0.0008797166,0.0000844828,0.0001002632,0.0003502299],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0002762975,0.00002444098,0.9988108,0.000004825791,0.00003762542,0.00009644883,0.00001774557,0.00004359541,0.0000783057,0.000008133459,0.00004098399,0.0005609086],"study_design_scores_gemma":[0.00002075447,0.0001456247,0.9982265,0.000007831167,0.00008286966,0.000803071,0.00007625456,0.0004222449,0.00005949294,0.00005866764,0.00009181142,0.000004808514],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.999136,0.000354278,0.00006646557,0.00004752056,0.000008184623,0.000006586867,0.00007186033,0.000002540636,0.0003066364],"genre_scores_gemma":[0.9996543,0.0001005918,0.0000515998,0.00001206052,0.00001922852,0.000003321596,0.00009294414,9.181585e-7,0.00006506833],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.002115024,"threshold_uncertainty_score":0.007075429,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.00952443038317615,"score_gpt":0.2561114917937351,"score_spread":0.2465870614105589,"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."}}