{"id":"W2980225947","doi":"10.1007/978-1-4939-9828-9_1","title":"Introduction: A Prelude to Mathematical Epidemiology","year":2019,"lang":"en","type":"book-chapter","venue":"Texts in applied mathematics","topic":"COVID-19 epidemiological studies","field":"Mathematics","cited_by":9,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of British Columbia","funders":"","keywords":"Pandemic; Influenza pandemic; Epidemiology; Infectious agent; Coronavirus disease 2019 (COVID-19); Geography; Demography; Medicine; Infectious disease (medical specialty); Pathology; Disease; Sociology","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":[0.001636268,0.0008541027,0.0007860212,0.002718231,0.001559553,0.003462415,0.001110341,0.002631306,0.03294143],"category_scores_gemma":[0.005470315,0.0004260848,0.000594725,0.002576373,0.003250316,0.004656526,0.002081969,0.004947136,0.01830272],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001751797,"about_ca_system_score_gemma":0.002051135,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001691915,"about_ca_topic_score_gemma":0.003066653,"domain_scores_codex":[0.9990336,0.0004191524,0.00006841646,0.0001436061,0.0002874839,0.00004779364],"domain_scores_gemma":[0.9961779,0.002935605,0.0001211543,0.0001613173,0.0004963827,0.0001076031],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.000008469181,0.00002292305,0.0001049603,0.0002658576,0.000006288643,0.00005678307,0.000530032,0.0002438875,0.00009136707,0.5621849,0.4008764,0.03560815],"study_design_scores_gemma":[0.00000201138,0.000006316266,0.000134081,0.0002803192,0.000002774175,0.00009342116,0.00008479851,0.0001123544,0.00003497592,0.1372149,0.8620286,0.000005547136],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"other","genre_gemma":"methods","genre_scores_codex":[0.001416422,0.1544847,0.07753321,0.1105035,0.04209032,0.0001774391,0.002363566,0.0003995287,0.6110312],"genre_scores_gemma":[0.02600948,0.1199068,0.03779289,0.05289746,0.06104735,0.0005818045,0.001708318,0.0008796334,0.6991763],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.03294143,"threshold_uncertainty_score":0.1102,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.2005404668216282,"score_gpt":0.4007870924334629,"score_spread":0.2002466256118346,"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."}}