{"id":"W1559639682","doi":"10.1002/9781118630013.ch19","title":"An Integrated Approach for Communicable Disease Geosimulation Based on Epidemiological, Human Mobility and Public Intervention Models","year":2014,"lang":"en","type":"other","venue":"Wiley series in probability and statistics","topic":"COVID-19 epidemiological studies","field":"Mathematics","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université Laval","funders":"Fonds pour la Formation à la Recherche dans l’Industrie et dans l’Agriculture","keywords":"Communicable disease; Public health; Geographic information system; Intervention (counseling); Health geography; Population; Outbreak; Environmental health; Epidemiology; Residence; Spatial epidemiology; Infectious disease (medical specialty); Computer science; Geographic mobility; Non-communicable disease; Geography; Environmental planning; Transport engineering; Disease; Medicine; Cartography; Engineering; Health promotion; International health; Demography","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":[0.0009632339,0.0009191367,0.000797906,0.000888311,0.0003361193,0.0009635477,0.001479036,0.0008212884,0.004005757],"category_scores_gemma":[0.002931775,0.000423792,0.001435417,0.0007830063,0.0005621149,0.001256757,0.00219531,0.0009891329,0.0004963563],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007682051,"about_ca_system_score_gemma":0.001476225,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00725391,"about_ca_topic_score_gemma":0.005242585,"domain_scores_codex":[0.9995166,0.0002134118,0.00003021243,0.00008039638,0.0001180111,0.00004136175],"domain_scores_gemma":[0.9990965,0.0005183869,0.0001032131,0.00009585837,0.0001253728,0.00006063479],"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":[0.00001482101,0.0000404355,0.0006571823,0.00003555848,0.00004231397,0.0000626668,0.00005967267,0.9321607,0.000719509,0.05568669,0.0004469641,0.01007355],"study_design_scores_gemma":[0.000005274744,0.000009972107,0.00005753769,0.000004782142,0.000008016895,0.00001313942,0.00001001792,0.9849584,0.0001527514,0.01313395,0.001641987,0.000004167432],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.003873277,0.00005560756,0.993327,0.000109091,0.00002769783,0.00002765391,0.00008843058,0.0001595783,0.002331609],"genre_scores_gemma":[0.2814023,0.0005470769,0.7105443,0.0001326241,0.0001184806,0.0006018914,0.0005510806,0.0002561133,0.005846012],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.00725391,"threshold_uncertainty_score":0.01442337,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.2406424506292134,"score_gpt":0.4114678464999788,"score_spread":0.1708253958707653,"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."}}