{"id":"W2575612478","doi":"10.1016/s1474-4422(16)30381-7","title":"Mechanical thrombectomy after intravenous thrombolysis for acute ischaemic stroke","year":2017,"lang":"en","type":"letter","venue":"The Lancet Neurology","topic":"Acute Ischemic Stroke Management","field":"Medicine","cited_by":2,"is_retracted":false,"has_abstract":false,"ca_institutions":"McMaster University; University of Toronto; Toronto Western Hospital","funders":"","keywords":"Thrombolysis; Medicine; Stroke (engine); Ischaemic stroke; Acute stroke; Randomized controlled trial; Fibrinolytic agent; Clinical trial; Occlusion; Internal medicine; Ischemia; Tissue plasminogen activator; 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":[0.001187741,0.0006032058,0.001363981,0.001222405,0.002625435,0.003118864,0.001120431,0.0316268,0.008444461],"category_scores_gemma":[0.02278172,0.0005242307,0.001100559,0.001099263,0.002106854,0.001975455,0.0009379368,0.02284577,0.006542305],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003993746,"about_ca_system_score_gemma":0.003813999,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003269803,"about_ca_topic_score_gemma":0.008946965,"domain_scores_codex":[0.9984331,0.000424267,0.0002434333,0.0001341787,0.0004524921,0.0003126103],"domain_scores_gemma":[0.9951444,0.002765847,0.0005042095,0.0001505036,0.0005908274,0.0008442616],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"nonrandomized_trial","study_design_scores_codex":[0.0001801552,0.0001415499,0.003295391,0.0001896266,0.00005595876,0.02084445,0.0001836021,0.0001423435,0.0002665542,0.00412047,0.9389992,0.03158058],"study_design_scores_gemma":[0.00177208,0.0005034914,0.01446471,0.002933752,0.0003505217,0.06039792,0.00110715,0.002455424,0.000944694,0.04465895,0.8702329,0.0001784274],"study_design_candidate":"nonrandomized_trial","study_design_consensus":null,"genre_codex":"commentary","genre_gemma":"empirical","genre_scores_codex":[0.002238741,0.005679959,0.0001812357,0.9494167,0.02318131,0.00002961211,0.00009379564,0.00004649832,0.01913215],"genre_scores_gemma":[0.03201834,0.007102428,0.000314099,0.7403118,0.2082078,0.00006151592,0.0001647219,0.00005341854,0.01176589],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.0316268,"threshold_uncertainty_score":0.0289768,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02772838293062384,"score_gpt":0.2993012717453779,"score_spread":0.271572888814754,"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."}}