{"id":"W4389958390","doi":"10.1161/circ.148.suppl_1.13954","title":"Abstract 13954: The Canadian Tia Score as a Predictor of Ischemic Lesion on Magnetic Resonance Imaging in Transient Ischemic Attack or Minor Stroke Following a Negative Computed Tomography Scan","year":2023,"lang":"en","type":"article","venue":"Circulation","topic":"Cerebrovascular and Carotid Artery Diseases","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Sunnybrook Health Science Centre; Montreal Neurological Institute and Hospital; University of Toronto; Vancouver General Hospital; Hôpital de l'Enfant-Jésus; University of Ottawa; McMaster University; Centre hospitalier universitaire de Québec","funders":"","keywords":"Medicine; Magnetic resonance imaging; Stroke (engine); Infarction; Logistic regression; Prospective cohort study; Minor stroke; Radiology; Cerebral infarction; Internal medicine; Odds ratio; Cardiology; Diffusion MRI; Cohort; Myocardial infarction; Ischemia","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true,"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":[0.0004817512,0.0004923207,0.0003039168,0.0008340461,0.0005555167,0.0004797225,0.0005664952,0.00043646,0.004532085],"category_scores_gemma":[0.003853668,0.0001797661,0.0003607023,0.001121744,0.0003192139,0.0002290503,0.0003674935,0.0004613076,0.0004286559],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001080942,"about_ca_system_score_gemma":0.002735421,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.2237924,"about_ca_topic_score_gemma":0.1784303,"domain_scores_codex":[0.9995846,0.00005791554,0.00003168091,0.00004740182,0.0002117846,0.00006660954],"domain_scores_gemma":[0.9985655,0.0002556905,0.0004727397,0.0000284155,0.0003572414,0.0003205059],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001277189,0.00001249473,0.9983955,0.000009616323,0.00003815384,0.00005129633,0.000010229,0.00007389398,0.00006058034,0.00001332741,0.0004578266,0.0007492215],"study_design_scores_gemma":[0.00002036609,0.00005565503,0.9985012,0.00000981351,0.0000468565,0.0002402043,0.00003469146,0.0007655389,0.00003497959,0.00002239202,0.0002624007,0.000005979743],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9948409,0.0003422697,0.0001428001,0.0002435012,0.00002907453,0.00003541224,0.001881861,0.00001371038,0.002470534],"genre_scores_gemma":[0.9981153,0.0001206154,0.0001525777,0.00002601197,0.00002595726,0.00001299185,0.001266762,0.000003000756,0.0002767488],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.7762076,"threshold_uncertainty_score":0.4449795,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02235647640866563,"score_gpt":0.2615447801294641,"score_spread":0.2391883037207985,"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."}}