{"id":"W4367018981","doi":"10.1161/svin.03.suppl_1.lba1","title":"Abstract Number: LBA1 Endovascular Thrombectomy vs Best Medical Therapy for Late Presentation Ischaemic Stroke Selected using Non‐Contrast CT","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; Thrombolysis; Stroke (engine); Modified Rankin Scale; Perfusion scanning; Penumbra; Occlusion; Radiology; Endovascular treatment; Perfusion; Internal medicine; Cardiology; Ischemic stroke; Ischemia; Myocardial infarction","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":[0.001734509,0.0003229022,0.001030048,0.0004865139,0.0002975673,0.001400644,0.0006630252,0.0005891038,0.01816365],"category_scores_gemma":[0.004707546,0.0001112609,0.0009519455,0.0006261035,0.0003192064,0.0005822509,0.0003895695,0.000497975,0.001931477],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004309693,"about_ca_system_score_gemma":0.0007526327,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0008982178,"about_ca_topic_score_gemma":0.00117913,"domain_scores_codex":[0.9988601,0.0004368007,0.0002412632,0.0002088158,0.0001436599,0.0001094773],"domain_scores_gemma":[0.9974068,0.001016739,0.0008515051,0.0001086266,0.0001672433,0.0004490353],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"randomized_trial","study_design_scores_codex":[0.299656,0.002302987,0.5922909,0.002802596,0.00343075,0.0005338335,0.0002205457,0.001215324,0.003385996,0.0006843789,0.0179856,0.07549109],"study_design_scores_gemma":[0.0233317,0.02574077,0.9293252,0.0007355792,0.002901932,0.000866115,0.0002761828,0.005101417,0.001683,0.00161107,0.008357993,0.00006897968],"study_design_candidate":"randomized_trial","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9809399,0.003867986,0.0009140151,0.001140734,0.0005470548,0.0007060861,0.007818955,0.00006709067,0.003998233],"genre_scores_gemma":[0.9933502,0.000558585,0.000438044,0.000320407,0.0005257333,0.0004519191,0.002411559,0.00001356218,0.001929905],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01816365,"threshold_uncertainty_score":0.06076348,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02244395645874396,"score_gpt":0.3123483806840557,"score_spread":0.2899044242253117,"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."}}