{"id":"W2471780513","doi":"10.1145/2961028.2961034","title":"A fully GIS-integrated simulation approach for analyzing the spread of epidemics in urban areas","year":2016,"lang":"en","type":"article","venue":"SIGSPATIAL Special","topic":"Human Mobility and Location-Based Analysis","field":"Social Sciences","cited_by":6,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université Laval","funders":"","keywords":"Geographic information system; Public health; Context (archaeology); Communicable disease; Variety (cybernetics); Environmental planning; Geography; Population; GIS and public health; Computer science; Data science; Environmental health; Cartography; Medicine","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":[0.0006532827,0.000680708,0.0006274834,0.0008010047,0.000534129,0.0009613384,0.0009601695,0.0009363501,0.002445421],"category_scores_gemma":[0.002007628,0.0005014043,0.0009521396,0.0007811934,0.0004889437,0.0006536972,0.001230115,0.0005463551,0.0002727463],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008674472,"about_ca_system_score_gemma":0.001566363,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.03264598,"about_ca_topic_score_gemma":0.0234975,"domain_scores_codex":[0.9997045,0.0001458233,0.00002044373,0.00004519922,0.00005070615,0.00003328278],"domain_scores_gemma":[0.9993019,0.0004632982,0.00005068191,0.00004212764,0.00008920191,0.00005283864],"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":[0.00001326039,0.00001797972,0.0007150305,0.000009002237,0.00001994051,0.00002958461,0.00002882062,0.9934022,0.000212683,0.003012786,0.0001468537,0.002391813],"study_design_scores_gemma":[0.00000273597,0.000003636866,0.00006592826,0.000001090026,0.000002857545,0.000004070573,0.000006759383,0.9987213,0.0000370458,0.0009366668,0.0002162888,0.000001703356],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.0876113,0.0001298887,0.9040393,0.0003287478,0.00005398377,0.0001279758,0.0008391499,0.00109244,0.005777208],"genre_scores_gemma":[0.7279687,0.0002924986,0.2662029,0.00009632903,0.00004411034,0.0004912886,0.0009993797,0.0001641653,0.003740682],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.03264598,"threshold_uncertainty_score":0.0649119,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03068672995421074,"score_gpt":0.3078830644961611,"score_spread":0.2771963345419504,"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."}}