{"id":"W2082098391","doi":"10.1007/s11069-015-1628-7","title":"The potential of recurrent epidemics and pandemics in a highly mobile global society","year":2015,"lang":"en","type":"article","venue":"Natural Hazards","topic":"Viral Infections and Outbreaks Research","field":"Medicine","cited_by":5,"is_retracted":false,"has_abstract":false,"ca_institutions":"York University","funders":"","keywords":"Pandemic; Outbreak; Developing country; Coronavirus disease 2019 (COVID-19); Population; Infectious disease (medical specialty); Geography; Risk analysis (engineering); Development economics; Environmental planning; Environmental health; Medicine; Economic growth; Virology; Disease; Economics","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":[],"consensus_categories":[],"category_scores_codex":[0.0005504561,0.00007896625,0.0001734556,0.00002043149,0.00005589337,0.00002056532,0.00005432987,0.0001071257,0.000001395545],"category_scores_gemma":[0.0002185233,0.00004716948,0.00009142395,0.0002453699,0.00015251,0.00007796615,0.00008702851,0.0002972363,0.000001633738],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001782669,"about_ca_system_score_gemma":0.0001795631,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003665772,"about_ca_topic_score_gemma":0.0001465908,"domain_scores_codex":[0.999117,0.00005090957,0.0002063781,0.0001309016,0.0002866104,0.0002082664],"domain_scores_gemma":[0.9994395,0.00006183547,0.0000428973,0.0001218814,0.0002260447,0.0001077774],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"observational","study_design_scores_codex":[0.001082898,0.0002216283,0.1311585,0.00009707945,0.0001345253,0.0000234253,0.0003305691,0.0000922744,0.003438147,0.00148537,0.02836476,0.8335708],"study_design_scores_gemma":[0.01398542,0.003821556,0.5705975,0.0005435783,0.0002562238,0.0009067224,0.00349912,0.2542,0.002343405,0.005784273,0.1433311,0.0007311651],"study_design_candidate":"design_other","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9923601,0.005932668,0.00004955274,0.0007748685,0.000345801,0.0002524802,0.0000181737,0.00001599278,0.0002503219],"genre_scores_gemma":[0.9976441,0.001541879,0.0003235307,0.00009969414,0.0001045645,0.00001115071,0.000009789844,0.000004823611,0.0002604993],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.8328397,"threshold_uncertainty_score":0.1923515,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02171039179553789,"score_gpt":0.3500856939980931,"score_spread":0.3283753022025552,"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."}}