{"id":"W2020635768","doi":"10.1212/wnl.0b013e318293e3ac","title":"Stroke risk after TIA","year":2013,"lang":"en","type":"letter","venue":"Neurology","topic":"Cerebrovascular and Carotid Artery Diseases","field":"Medicine","cited_by":9,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Calgary","funders":"","keywords":"Stroke (engine); Medicine; Stroke risk; Diffusion MRI; Magnetic resonance imaging; Radiology; Cardiology; Ischemic stroke; Physics","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":[0.0002758616,0.0001730141,0.000558379,0.0006647475,0.0005616072,0.0007292437,0.0002202071,0.001744244,0.005080847],"category_scores_gemma":[0.002864647,0.00008986348,0.0003615644,0.0009639605,0.0001979415,0.0004953494,0.0002326469,0.001138259,0.001247088],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008434962,"about_ca_system_score_gemma":0.0004077581,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003989996,"about_ca_topic_score_gemma":0.006936322,"domain_scores_codex":[0.9995906,0.00009086786,0.00003963682,0.00008653482,0.000116886,0.0000754006],"domain_scores_gemma":[0.9992873,0.0001670171,0.0001638328,0.00004328954,0.0001648594,0.0001737459],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"not_applicable","study_design_scores_codex":[0.001195131,0.0001754717,0.8073251,0.0003246751,0.0003431852,0.007289398,0.0003082283,0.0004137268,0.0008297978,0.003527402,0.07423612,0.1040318],"study_design_scores_gemma":[0.000114003,0.000256041,0.940775,0.0003114674,0.0002092821,0.01665661,0.0003575721,0.0008792541,0.0002130379,0.008868688,0.03130616,0.0000529662],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"editorial","genre_scores_codex":[0.5239717,0.08253031,0.001177952,0.1406365,0.004567813,0.00009490616,0.005538328,0.0002575321,0.2412249],"genre_scores_gemma":[0.9609103,0.008182322,0.0003991345,0.01652836,0.007243079,0.00004905256,0.001515806,0.00001808868,0.005153879],"genre_candidate":"editorial","genre_consensus":null,"teacher_disagreement_score":0.005080847,"threshold_uncertainty_score":0.01699716,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.005461796516765465,"score_gpt":0.2039309933774491,"score_spread":0.1984691968606837,"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."}}