{"id":"W2964867540","doi":"","title":"BURDEN OF STROKE IN EUROPE: 30-YEAR PROJECTIONS OF INCIDENCE, PREVALENCE, DEATHS AND DALYS IN EU COUNTRIES","year":2019,"lang":"en","type":"article","venue":"","topic":"Migration, Health and Trauma","field":"Psychology","cited_by":1,"is_retracted":false,"has_abstract":false,"ca_institutions":"Institute of Population and Public Health","funders":"","keywords":"Incidence (geometry); Stroke (engine); Medicine; Geography; European union; Environmental health; Demography; Socioeconomics; Business; Economics; International trade","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":[0.001602809,0.0009418224,0.0008155059,0.001905349,0.0002576389,0.001544832,0.0005567751,0.001308312,0.001204817],"category_scores_gemma":[0.001625522,0.0003479843,0.003409712,0.002043498,0.0002532158,0.001354229,0.0009582516,0.0007676223,0.0005437415],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0009352825,"about_ca_system_score_gemma":0.001301898,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0123659,"about_ca_topic_score_gemma":0.005924065,"domain_scores_codex":[0.9994543,0.0001587586,0.00009296154,0.000089904,0.0000847865,0.0001192886],"domain_scores_gemma":[0.9994476,0.00007233075,0.0001297553,0.000030764,0.0002332584,0.00008617402],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.003649079,0.0004626175,0.6978409,0.001998899,0.006677784,0.001577828,0.0007914848,0.10392,0.002369185,0.0151062,0.05323346,0.1123726],"study_design_scores_gemma":[0.0002507542,0.0005583311,0.9120211,0.001310928,0.00180087,0.002269485,0.001397895,0.03136595,0.001227341,0.009764804,0.03788169,0.0001507779],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.874042,0.03348398,0.02107541,0.004874377,0.0007803321,0.00009774252,0.05518153,0.0006595597,0.009805132],"genre_scores_gemma":[0.9438164,0.01442825,0.005216741,0.0005744547,0.0001521223,0.000116313,0.03430597,0.00004844811,0.001341397],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0123659,"threshold_uncertainty_score":0.02458787,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01450975395440088,"score_gpt":0.3100307442789908,"score_spread":0.2955209903245899,"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."}}