{"id":"W3210461573","doi":"","title":"THE DIFFERENCE BETWEEN THERAPEUTIC WINDOW OF ISCHEMIC STROKEPATIENTS WITH HIGH EDUCATION LEVEL AND LOW EDUCATION LEVEL","year":2014,"lang":"en","type":"article","venue":"","topic":"Public Health and Nutrition","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Medicine; Stroke (engine); Disease; Demography; Gerontology; Internal medicine","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":[0.0005490324,0.000145709,0.0002591928,0.000507871,0.0003378514,0.0006150734,0.0002360192,0.0003400706,0.004520792],"category_scores_gemma":[0.004576755,0.0001121454,0.0004991105,0.0005421617,0.0002111428,0.0004099856,0.0003382521,0.000702862,0.000304552],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004397937,"about_ca_system_score_gemma":0.0005646519,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002053116,"about_ca_topic_score_gemma":0.002420394,"domain_scores_codex":[0.9993336,0.0001300599,0.0001336275,0.0001131687,0.0001235201,0.0001659679],"domain_scores_gemma":[0.9972215,0.0006372266,0.001311981,0.00009386575,0.0001849911,0.0005505485],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0005694292,0.0002500261,0.995417,0.00003535852,0.00006878868,0.00005825077,0.0001061438,0.00002140528,0.0001104644,0.00003822792,0.0001367687,0.003188197],"study_design_scores_gemma":[0.00001569222,0.000353384,0.9988056,0.00001311059,0.00005797116,0.0001596388,0.0001873144,0.00005359636,0.00009151116,0.00006801713,0.0001902335,0.000003915276],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9977633,0.0006230331,0.00005937965,0.0001450123,0.00001603383,0.00001221478,0.0003197211,0.000002693613,0.001058584],"genre_scores_gemma":[0.999391,0.0001131312,0.00003679299,0.00002368018,0.000009042767,0.000008850088,0.0001865709,5.979946e-7,0.0002302369],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.004520792,"threshold_uncertainty_score":0.01512361,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03270346495431319,"score_gpt":0.2964433528350258,"score_spread":0.2637398878807126,"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."}}