{"id":"W4220766411","doi":"10.2196/36006","title":"Epidemiology, Secondary School Curricula, and Preparing the Next Generation for Global Citizenship","year":2022,"lang":"en","type":"article","venue":"JMIR Public Health and Surveillance","topic":"Viral Infections and Outbreaks Research","field":"Medicine","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Misinformation; Context (archaeology); Pandemic; Epidemiology; Global health; Infectious disease (medical specialty); Public health; Medicine; Population; Public relations; Disease; Environmental health; Coronavirus disease 2019 (COVID-19); Political science; Geography; Nursing; Pathology","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"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":[0.008076182,0.0004158019,0.0005680191,0.001952609,0.005736912,0.01088624,0.00123905,0.003229755,0.01798032],"category_scores_gemma":[0.01414653,0.0003440205,0.0005273155,0.0008791743,0.003806257,0.005921572,0.009968863,0.005111854,0.004512575],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003600131,"about_ca_system_score_gemma":0.02034581,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.009344278,"about_ca_topic_score_gemma":0.02274354,"domain_scores_codex":[0.9961289,0.001774519,0.0001550138,0.0002631532,0.0005002069,0.001178222],"domain_scores_gemma":[0.9844927,0.001535644,0.0008866671,0.0004864674,0.001566508,0.01103198],"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":[0.00005800454,0.002450029,0.09760772,0.0009098054,0.00003376799,0.0007268157,0.04800292,0.0002546414,0.001010729,0.09893745,0.3757785,0.3742296],"study_design_scores_gemma":[0.0000357334,0.0003791904,0.05919668,0.002713082,0.00002698477,0.0004063296,0.0590698,0.0001673798,0.0006834422,0.04129469,0.8359688,0.00005790939],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"commentary","genre_gemma":"empirical","genre_scores_codex":[0.1081615,0.01480452,0.002777576,0.7384037,0.007473574,0.0002822043,0.0005433398,0.0002976311,0.1272559],"genre_scores_gemma":[0.7148935,0.02562643,0.01475189,0.1317044,0.004548679,0.0005440087,0.001048212,0.0002033283,0.1066796],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.01798032,"threshold_uncertainty_score":0.06015021,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1466024077244787,"score_gpt":0.4083704289528684,"score_spread":0.2617680212283897,"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."}}