{"id":"W1833885066","doi":"10.1161/circoutcomes.115.002242","title":"Patient Characteristics and Outcomes After Hemorrhagic Stroke in Pregnancy","year":2015,"lang":"en","type":"article","venue":"Circulation Cardiovascular Quality and Outcomes","topic":"Neurological Complications and Syndromes","field":"Medicine","cited_by":52,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Calgary","funders":"","keywords":"Medicine; Subarachnoid hemorrhage; Intracerebral hemorrhage; Stroke (engine); Intraventricular hemorrhage; Pregnancy; Odds ratio; Preeclampsia; Obstetrics; Logistic regression; Exact test; Risk factor; Pediatrics; Internal medicine; Gestational age","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":[0.0008594704,0.0001859523,0.0003110431,0.0005828539,0.0003571602,0.000712701,0.0002541668,0.0003615689,0.001630142],"category_scores_gemma":[0.007421196,0.000142615,0.000419886,0.001173587,0.0003023121,0.0004497948,0.0004991647,0.0006716769,0.0002164186],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004201122,"about_ca_system_score_gemma":0.0005259204,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003540336,"about_ca_topic_score_gemma":0.002646702,"domain_scores_codex":[0.9992089,0.0002526712,0.0001322606,0.0001470975,0.0001228674,0.0001362699],"domain_scores_gemma":[0.9975351,0.0006280724,0.001319198,0.00009087884,0.0001126199,0.0003140977],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001121015,0.00001463534,0.997532,0.00001203971,0.00005827659,0.0002066021,0.00006956865,0.0000877186,0.0000504161,0.00006776501,0.0001909694,0.001597795],"study_design_scores_gemma":[0.000009439764,0.0000874199,0.9974969,0.00003300122,0.00004329196,0.001165624,0.0002110301,0.0003656422,0.00006176811,0.0002639052,0.0002530995,0.000008825097],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9959485,0.0007647409,0.0001633457,0.0003520053,0.0000163841,0.00001335033,0.001376341,0.000008242316,0.001357195],"genre_scores_gemma":[0.9988985,0.000288397,0.00005488523,0.00003943121,0.000008933011,0.00001137759,0.0006342839,0.000002679428,0.00006147558],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.003540336,"threshold_uncertainty_score":0.007039487,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.07118807538484329,"score_gpt":0.3088591765301492,"score_spread":0.2376711011453059,"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."}}