{"id":"W2262331911","doi":"10.1161/str.45.suppl_1.30","title":"Abstract 30: Association of Fluid Levels, Density Heterogeneity and Irregular Margins on Baseline Non-Contrast Computerized Tomography With Significant Hematoma Expansion in Intracerebral Hemorrhage","year":2014,"lang":"en","type":"article","venue":"Stroke","topic":"Intracerebral and Subarachnoid Hemorrhage Research","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Sunnybrook Health Science Centre; Hôpital Charles-Le Moyne; University of Calgary; Dalhousie University; Bruyère; University of Ottawa","funders":"","keywords":"Medicine; Hematoma; Intracerebral hemorrhage; Computed tomography; Radiology; Nuclear medicine; Spontaneous intracerebral hemorrhage; Computed tomography angiography; Stroke (engine); Surgery; Glasgow Coma Scale","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":[0.0004038858,0.0003130963,0.0003383619,0.000529122,0.0001865389,0.0003731039,0.0002156406,0.0002693268,0.00263891],"category_scores_gemma":[0.002007451,0.000105508,0.0002979119,0.0004808673,0.0002397792,0.0003124963,0.0003459261,0.0003416095,0.0003767713],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001614763,"about_ca_system_score_gemma":0.0002700496,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000720995,"about_ca_topic_score_gemma":0.0005635373,"domain_scores_codex":[0.9997806,0.00003604049,0.00003615671,0.00004162406,0.00007121122,0.00003452118],"domain_scores_gemma":[0.9986997,0.0002606087,0.0006744684,0.00006313801,0.0001220814,0.0001801139],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.000430812,0.00003438267,0.9975369,0.00001356368,0.00004449316,0.0001116651,0.00001308087,0.00004783057,0.0003984162,0.000007876544,0.0000696709,0.001291356],"study_design_scores_gemma":[0.00001198402,0.0002058737,0.9983701,0.000004826325,0.00003343683,0.0006794796,0.00003082952,0.0003066246,0.0002449752,0.00002371323,0.00008478479,0.000003476776],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9992952,0.00009453649,0.00008886846,0.00002404102,0.000004532271,0.000007360877,0.0002477216,0.000003785941,0.0002338875],"genre_scores_gemma":[0.9994843,0.00003357883,0.0000932523,0.000008471746,0.00001024618,0.000006608729,0.0002700852,0.000001219237,0.00009221318],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.00263891,"threshold_uncertainty_score":0.008828044,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01010082825583086,"score_gpt":0.2407092394420899,"score_spread":0.230608411186259,"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."}}