{"id":"W2913810375","doi":"10.1161/str.50.suppl_1.wp381","title":"Abstract WP381: Cryptogenic Stroke: Contemporary Characteristics, Treatments, and Outcomes in the United States","year":2019,"lang":"en","type":"article","venue":"Stroke","topic":"Cerebrovascular and Carotid Artery Diseases","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Calgary","funders":"","keywords":"Medicine; Stroke (engine); Etiology; Logistic regression; Internal medicine; Ischemic stroke; Hospital discharge; Emergency medicine; Cardiology; Pediatrics; Ischemia","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":[0.0004787548,0.0002658564,0.0003243941,0.001003447,0.0005130104,0.0005905607,0.0004063443,0.0003205677,0.002597593],"category_scores_gemma":[0.001668324,0.0001490808,0.0002989589,0.002837894,0.0002018311,0.0005215071,0.0006360803,0.0005428114,0.0004827667],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000586575,"about_ca_system_score_gemma":0.0008181834,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02069023,"about_ca_topic_score_gemma":0.02757421,"domain_scores_codex":[0.9996087,0.0000523875,0.00008187921,0.00009718094,0.00009633405,0.00006363443],"domain_scores_gemma":[0.9985473,0.00008194459,0.0009093934,0.0000848237,0.0001609843,0.0002155309],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00004689186,0.00003400923,0.9946861,0.00002125339,0.00004642982,0.00004929822,0.00002761761,0.00004058729,0.00004241497,0.00002581238,0.002511482,0.002468118],"study_design_scores_gemma":[0.00001093084,0.00002015575,0.9991158,0.00001924457,0.00001900489,0.0001046633,0.00008912178,0.0001139847,0.00002427251,0.00004286256,0.0004380879,0.000001967521],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9742156,0.000714597,0.0001461588,0.0007772254,0.0000323721,0.00004642846,0.02191876,0.00002083828,0.002127937],"genre_scores_gemma":[0.9821293,0.0005270609,0.0001863242,0.0002826352,0.00009118385,0.00005629124,0.01632054,0.000007606054,0.000398983],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02069023,"threshold_uncertainty_score":0.0411396,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01442757284083903,"score_gpt":0.255628725170849,"score_spread":0.24120115233001,"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."}}