{"id":"W3080485361","doi":"10.1136/svn-2020-000529","title":"China Stroke Statistics 2019: a wealth of opportunities for stroke prevention","year":2020,"lang":"en","type":"letter","venue":"Stroke and Vascular Neurology","topic":"Acute Ischemic Stroke Management","field":"Medicine","cited_by":24,"is_retracted":false,"has_abstract":true,"ca_institutions":"Robarts Clinical Trials; Western University","funders":"","keywords":"Stroke (engine); China; Medicine; Myocardial infarction; Cause of death; Emergency medicine; Disease; Medical emergency; Demography; Cardiology; Internal medicine; Geography","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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0002368843,0.0005419175,0.001379558,0.0003488214,0.00009091639,0.00002212236,0.0002589917,0.0006645629,0.0001475875],"category_scores_gemma":[0.0001547761,0.0005303368,0.0005053137,0.00006228517,0.0002859151,0.00005600173,0.0002481329,0.001486239,0.00000834925],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002890894,"about_ca_system_score_gemma":0.0002611371,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00006421905,"about_ca_topic_score_gemma":0.000005339115,"domain_scores_codex":[0.9970006,0.0002088103,0.0007752664,0.0008141359,0.0005570209,0.0006441681],"domain_scores_gemma":[0.9982439,0.0001733621,0.0005688684,0.0006724825,0.0001566446,0.0001847395],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0003034178,0.00006360262,0.0003577279,0.001976399,0.001386448,0.000455578,0.0000698606,0.000001641799,0.0004344707,0.0001106779,0.9894781,0.005362098],"study_design_scores_gemma":[0.003038813,0.004245666,0.001684035,0.00006645198,0.002325099,0.00007951716,0.0000616439,0.0003171441,0.0001716406,0.00007403168,0.9876139,0.0003220576],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"commentary","genre_gemma":"commentary","genre_scores_codex":[0.02007549,0.002251693,0.04842987,0.9009494,0.001554421,0.005109423,0.01493629,0.0002146609,0.006478734],"genre_scores_gemma":[0.006826489,0.007880857,0.01455949,0.8438098,0.006472935,0.0004913521,0.01055819,0.0004607638,0.1089401],"genre_candidate":"commentary","genre_consensus":"commentary","teacher_disagreement_score":0.1024614,"threshold_uncertainty_score":0.9997148,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03442698722608526,"score_gpt":0.2737718357827146,"score_spread":0.2393448485566294,"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."}}