{"id":"W2964571813","doi":"10.1161/strokeaha.119.025537","title":"Exploring Reperfusion Following Endovascular Thrombectomy","year":2019,"lang":"en","type":"article","venue":"Stroke","topic":"Acute Ischemic Stroke Management","field":"Medicine","cited_by":37,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Alberta","funders":"","keywords":"Medicine; Thrombolysis; Perfusion; Digital subtraction angiography; Interquartile range; Stroke (engine); Perfusion scanning; Mean transit time; Radiology; Angiography; Cardiology; Nuclear medicine; Internal medicine; Myocardial infarction","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":[0.0004436951,0.0002474128,0.0002850069,0.0007892532,0.0001249298,0.000574996,0.0001424475,0.0002456848,0.001103169],"category_scores_gemma":[0.002211452,0.00008433257,0.0001854764,0.000453364,0.0002204596,0.0002883358,0.0001927561,0.0002466222,0.0002312889],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000208957,"about_ca_system_score_gemma":0.0001707894,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0004014981,"about_ca_topic_score_gemma":0.0003815481,"domain_scores_codex":[0.9998281,0.00005544724,0.00001807336,0.0000275471,0.00004414341,0.00002668399],"domain_scores_gemma":[0.9993865,0.0002067225,0.0002492016,0.00003203193,0.00007968007,0.00004568866],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.003201242,0.0001594522,0.7567426,0.0003596573,0.0002298501,0.004617768,0.000448681,0.002360691,0.03092001,0.0009368043,0.001558676,0.1984646],"study_design_scores_gemma":[0.00005877678,0.001691046,0.9577755,0.00009614176,0.0001895755,0.01454048,0.0002511427,0.006014281,0.01419147,0.002168895,0.002991333,0.00003131606],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9861196,0.00360686,0.00724115,0.0002597719,0.00002756276,0.00003391293,0.0002960756,0.00006902855,0.002346082],"genre_scores_gemma":[0.9962491,0.001537868,0.001588978,0.00005484176,0.00008864827,0.00001828108,0.0002545394,0.000008288954,0.000199378],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001103169,"threshold_uncertainty_score":0.003690422,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04010679063810152,"score_gpt":0.258749118422376,"score_spread":0.2186423277842744,"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."}}