{"id":"W1629599866","doi":"10.1002/9781118630013.ch5","title":"Using Mathematical Modeling to Integrate Disease Surveillance and Global Air Transportation Data","year":2014,"lang":"en","type":"other","venue":"Wiley series in probability and statistics","topic":"COVID-19 epidemiological studies","field":"Mathematics","cited_by":5,"is_retracted":false,"has_abstract":true,"ca_institutions":"St. Michael's Hospital; University of Manitoba","funders":"","keywords":"Computer science; Meteorology; Data science; Geography; Environmental science","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":[0.002338715,0.001217949,0.0006567877,0.00153911,0.0004050058,0.002038772,0.001213983,0.001259367,0.00307945],"category_scores_gemma":[0.01061704,0.0004573787,0.001394284,0.001433923,0.0008337863,0.003039741,0.001898145,0.001934865,0.0006113644],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001636253,"about_ca_system_score_gemma":0.001427868,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0111415,"about_ca_topic_score_gemma":0.006455499,"domain_scores_codex":[0.9989366,0.0005756223,0.00006362221,0.0001577441,0.000197289,0.00006907582],"domain_scores_gemma":[0.9957231,0.003184462,0.0005372813,0.0002110436,0.0002580119,0.00008611053],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00001187708,0.00005038255,0.002455151,0.00008771542,0.00009551595,0.0001348956,0.0001120879,0.5184681,0.0002285015,0.4587165,0.003258217,0.01638119],"study_design_scores_gemma":[0.00000449123,0.00001186158,0.0002420262,0.00002502927,0.00001616355,0.0000417942,0.00002976875,0.8270053,0.00008148765,0.1688669,0.003665941,0.000009179687],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.01069044,0.001536245,0.9680236,0.00386363,0.0002063276,0.00004339702,0.0003894052,0.000149459,0.01509758],"genre_scores_gemma":[0.6548706,0.008212051,0.3025389,0.001063509,0.001047251,0.0004173169,0.001236936,0.000233725,0.03037968],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.0111415,"threshold_uncertainty_score":0.02215332,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.2441161592490465,"score_gpt":0.4166334191877336,"score_spread":0.1725172599386871,"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."}}