{"id":"W4367018784","doi":"10.1161/svin.03.suppl_1.lba14","title":"Abstract Number: LBA14 Incidence of Intracranial Hemorrhage &amp; Clinical Outcomes in Fast Versus Slow Progressors as per ASPECTS","year":2023,"lang":"en","type":"article","venue":"Stroke Vascular and Interventional Neurology","topic":"Acute Ischemic Stroke Management","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Medicine; Stroke (engine); Mann–Whitney U test; Exact test; Intracerebral hemorrhage; Subgroup analysis; Penumbra; Incidence (geometry); Thrombolysis; Internal medicine; Ischaemic stroke; Statistic; Cardiology; Subarachnoid hemorrhage; Meta-analysis; Myocardial infarction; Ischemia","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0009145234,0.0001958942,0.0004794766,0.001818014,0.0002447834,0.0008209449,0.0003378714,0.00027804,0.01485116],"category_scores_gemma":[0.002622396,0.00009204821,0.0003328444,0.001829835,0.0002530709,0.0004582731,0.0004962509,0.0002260692,0.001956496],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00023141,"about_ca_system_score_gemma":0.0004395506,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0021928,"about_ca_topic_score_gemma":0.001597771,"domain_scores_codex":[0.9995275,0.0001107837,0.0000876042,0.00008385488,0.000138275,0.00005209291],"domain_scores_gemma":[0.9973875,0.0005390845,0.001138093,0.0001100079,0.0004248574,0.0004005286],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0008562534,0.00004811447,0.9923498,0.000092621,0.00008221839,0.00004654395,0.00002252067,0.00004322448,0.000164899,0.00003099141,0.001305639,0.004957205],"study_design_scores_gemma":[0.00005523008,0.0003493443,0.9980022,0.0000412371,0.00005405311,0.0002367983,0.00004772546,0.0001318799,0.0001113076,0.00006937652,0.0008950342,0.000005786945],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9764928,0.001168026,0.0003347242,0.0001530004,0.00004931164,0.0001748633,0.01871951,0.00004574512,0.00286209],"genre_scores_gemma":[0.9864345,0.0003719648,0.0004073944,0.00005056534,0.000110495,0.0002121513,0.01044409,0.00001574385,0.001953086],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01485116,"threshold_uncertainty_score":0.04968208,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02721201026069112,"score_gpt":0.3453936259323065,"score_spread":0.3181816156716154,"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."}}