{"id":"W4399553987","doi":"10.3969/j.issn.1673-5765.2019.06.005","title":"ASPECTS、DRAGON和THRIVE评分对我国接受静脉溶栓治疗的急性缺血性卒中患者3个月不良预后的预测价值分析 Predictive Value of ASPECTS, DRAGON and THRIVE Scores for 3-month Poor Prognosis after Intravenous Thrombolysis in Patients with Acute Ischemic Stroke in China","year":2019,"lang":"zh","type":"article","venue":"DOAJ (DOAJ: Directory of Open Access Journals)","topic":"Acute Ischemic Stroke Management","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Failure to thrive; Thrombolysis; Medicine; Predictive value; Ischemic stroke; Value (mathematics); Internal medicine; Emergency medicine; Pediatrics; Myocardial infarction; Statistics; Ischemia; Mathematics","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":[0.001203184,0.0005967876,0.0006393782,0.002004712,0.0006455114,0.001265032,0.0005247179,0.0005430722,0.0007365222],"category_scores_gemma":[0.003730535,0.0003154162,0.001954749,0.001976309,0.0006481848,0.001002474,0.0009735256,0.0008613265,0.0001082606],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001170634,"about_ca_system_score_gemma":0.003037515,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.04618483,"about_ca_topic_score_gemma":0.05324123,"domain_scores_codex":[0.9993042,0.0001155038,0.0001344821,0.0001167118,0.0001712928,0.0001577683],"domain_scores_gemma":[0.9981887,0.0003224793,0.0005236876,0.00008025,0.0003424289,0.0005424427],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.000066938,0.00001673195,0.9972147,0.00001211543,0.0001246071,0.00003872187,0.00008453207,0.000120867,0.00002633121,0.00003997855,0.0001698032,0.002084676],"study_design_scores_gemma":[0.00001073607,0.00003450859,0.9987928,0.000009847899,0.0001224428,0.00006384315,0.0002112954,0.0004071313,0.00002476973,0.0001096387,0.0002022809,0.00001062076],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9976646,0.0004677018,0.0001815038,0.0002026666,0.00002025072,0.0000206581,0.0004502252,0.000008654654,0.0009837596],"genre_scores_gemma":[0.9985822,0.0002216522,0.0001427785,0.00004281108,0.00002800976,0.00002555343,0.0006004471,0.000002231424,0.0003543422],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.04618483,"threshold_uncertainty_score":0,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0293386194305351,"score_gpt":0.3856728839547124,"score_spread":0.3563342645241773,"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."}}