{"id":"W2612952404","doi":"10.1161/str.47.suppl_1.tp222","title":"Abstract TP222: Frequency of Intracranial Arterial Imaging and its Yield in Consecutive Patients with Non-lacunar Cryptogenic Ischemic Stroke: ESUS Global Registry","year":2016,"lang":"en","type":"article","venue":"Stroke","topic":"Cerebrovascular and Carotid Artery Diseases","field":"Medicine","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"Encana (Canada); Population Health Research Institute","funders":"","keywords":"Medicine; Stroke (engine); Stenosis; Cardiology; Internal medicine; Lacunar stroke; Ischemic stroke; Population; Ischemia; Brain ischemia; Radiology","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":[0.0003868006,0.0002324977,0.0003066857,0.001384814,0.0002379343,0.0005392295,0.000273331,0.0003049454,0.001317837],"category_scores_gemma":[0.001553422,0.000190373,0.0002720407,0.001519377,0.0002368061,0.0004361213,0.0003998539,0.0002195942,0.0002692244],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002201794,"about_ca_system_score_gemma":0.0002420424,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003799719,"about_ca_topic_score_gemma":0.003532239,"domain_scores_codex":[0.9996314,0.00007889362,0.00007518833,0.00007982792,0.00007498904,0.00005976646],"domain_scores_gemma":[0.9986474,0.0001927882,0.0007315598,0.00009023858,0.0001655245,0.0001725121],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00002360587,0.000003989832,0.9995131,0.000003968883,0.00001195433,0.00007063538,0.00001443028,0.000008674669,0.00004024334,0.000002809806,0.00004704398,0.0002595025],"study_design_scores_gemma":[0.000002796448,0.00002209306,0.999236,0.000003234543,0.00001231833,0.000454907,0.00008112635,0.00007069228,0.00004687766,0.000005440048,0.00006296796,0.000001617426],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9984226,0.0001529987,0.00003563521,0.00002165662,0.000002349413,0.000007004412,0.0009548421,0.000004703491,0.000398105],"genre_scores_gemma":[0.9988507,0.00009076891,0.00002855988,0.00001255935,0.000006293038,0.000007605027,0.0009482105,0.000001535202,0.00005371909],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.003799719,"threshold_uncertainty_score":0.007555187,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.005244776332965469,"score_gpt":0.2192167958485944,"score_spread":0.2139720195156289,"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."}}