{"id":"W4319006547","doi":"10.1161/str.54.suppl_1.wp128","title":"Abstract WP128: Incidence Of Intracranial Hemorrhage And Clinical Outcomes In Fast Versus Slow Progressors As Defined By Aspects","year":2023,"lang":"en","type":"article","venue":"Stroke","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; Intracerebral hemorrhage; Exact test; Subgroup analysis; Penumbra; Incidence (geometry); Thrombolysis; Internal medicine; Ischaemic stroke; 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":[0.000498348,0.0002153195,0.0002567853,0.001511012,0.0002182903,0.000567936,0.0002395089,0.0002086948,0.002282154],"category_scores_gemma":[0.001711681,0.0001107216,0.0003292764,0.001392058,0.0002046881,0.0004758344,0.0004304929,0.000267192,0.0003125795],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002145358,"about_ca_system_score_gemma":0.0002856473,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002976696,"about_ca_topic_score_gemma":0.002325015,"domain_scores_codex":[0.9997092,0.00003915036,0.00006677253,0.00005043939,0.00009649775,0.00003793581],"domain_scores_gemma":[0.9981469,0.000180812,0.00117215,0.00005750857,0.0002189362,0.000223726],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00009672043,0.000007491527,0.9990609,0.000006692952,0.0000174247,0.00003368248,0.00001562357,0.00001424351,0.00006481895,0.000005460633,0.00005389163,0.0006229162],"study_design_scores_gemma":[0.00000266578,0.00004885926,0.9996172,0.000003141799,0.000008346328,0.0001543318,0.00003281163,0.00003937963,0.00003258325,0.00001104244,0.00004838818,0.000001257912],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.997855,0.0001122274,0.0000585822,0.00001884542,0.000002499701,0.00001133495,0.001498542,0.000003494347,0.0004394141],"genre_scores_gemma":[0.9979845,0.0000546903,0.00007248902,0.00000571734,0.000009267972,0.00001515418,0.001701743,0.000002350071,0.0001540587],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.002976696,"threshold_uncertainty_score":0,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02141944759547728,"score_gpt":0.3271629459689883,"score_spread":0.305743498373511,"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."}}