{"id":"W1537099086","doi":"10.1002/9781118630013.ch16","title":"The ZoonosisMAGS Project (Part 1): Population‐Based Geosimulation of Zoonoses in an Informed Virtual Geographic Environment","year":2014,"lang":"en","type":"other","venue":"Wiley series in probability and statistics","topic":"Vector-borne infectious diseases","field":"Immunology and Microbiology","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université Laval","funders":"","keywords":"Population; Geography; Cartography; Ecology; Computer science; Physical geography; Demography; Biology","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":[0.0003500264,0.0002853916,0.000445623,0.0002594871,0.0001137721,0.00002618391,0.0001651428,0.0003794305,0.0003627695],"category_scores_gemma":[0.00045116,0.0002376539,0.00004384495,0.0001295556,0.0007796287,0.00009284136,0.00006526733,0.0002579037,0.000008442335],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00008649682,"about_ca_system_score_gemma":0.0001520369,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002112146,"about_ca_topic_score_gemma":0.02547183,"domain_scores_codex":[0.9981328,0.0004962758,0.0006456735,0.0003666031,0.00007417647,0.0002844212],"domain_scores_gemma":[0.9985397,0.0005667624,0.0003759128,0.0004632735,0.00003242739,0.00002184872],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0006678712,0.0006830782,0.9557502,0.0006235156,0.0001283977,0.000001916761,0.0003598848,0.001296876,0.00003079371,0.01783573,0.006656895,0.01596485],"study_design_scores_gemma":[0.002650074,0.002031987,0.7687003,0.000729144,0.0001725371,0.000006026311,0.0002310045,0.0005481088,0.00005262497,0.01117641,0.212829,0.0008728254],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9283053,0.0176982,0.008343135,0.0002850243,0.004135379,0.01556765,0.01630434,0.000726535,0.008634453],"genre_scores_gemma":[0.9763539,0.003951305,0.00414886,0.0001483302,0.0001007471,0.0007185595,0.007390741,0.0002764193,0.006911094],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2061721,"threshold_uncertainty_score":0.9923108,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01256329700269995,"score_gpt":0.2442271471680011,"score_spread":0.2316638501653011,"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."}}