{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004671874,0.0001795385,0.0007427636,0.0001101603,0.000048929,0.00003807529,0.00003585677,0.0001067232,0.00001269055],"category_scores_gemma":[0.0003648101,0.0001393159,0.0002876446,0.0001137954,0.00008179495,0.0001065065,0.00006401626,0.0001557214,0.000008597789],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003986122,"about_ca_system_score_gemma":0.00002768788,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000037288,"about_ca_topic_score_gemma":0.00000367159,"domain_scores_codex":[0.9983841,0.0002097749,0.0004664956,0.0003706239,0.0003810986,0.0001879202],"domain_scores_gemma":[0.9990563,0.0001075922,0.00007378202,0.0004672691,0.0001037324,0.0001913117],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00002458027,0.00006757012,0.9797531,0.00008612426,0.0001522159,0.00005438652,0.0002438532,0.00001136387,0.00001058745,0.0003472133,0.000002146911,0.01924682],"study_design_scores_gemma":[0.001371497,0.00004640931,0.9967756,0.00003074088,0.0001345601,0.00007594845,0.00009748129,0.0001233144,0.000005021069,0.0004575516,0.0007217338,0.0001600955],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9941311,0.003249058,0.0005859534,0.001122761,0.00009831526,0.0004666191,0.00002176282,0.00004558425,0.0002788263],"genre_scores_gemma":[0.9986057,0.00008928081,0.0003220797,0.0008021552,0.00001717358,0.00006191391,0.00002536088,0.00001244898,0.00006391767],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01908672,"threshold_uncertainty_score":0.5681137,"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."}}