{"id":"W1586909563","doi":"10.1002/9781118630013.ch17","title":"ZoonosisMAGS Project (Part 2): Complementarity of a Rapid‐Prototyping Tool and of a Full‐Scale Geosimulator for Population‐Based Geosimulation of Zoonoses","year":2014,"lang":"en","type":"other","venue":"Wiley series in probability and statistics","topic":"Zoonotic diseases and public health","field":"Medicine","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université Laval","funders":"","keywords":"Computer science; Complementarity (molecular biology); Suite; Software; Software suite; MATLAB; Graphical user interface; Scale (ratio); Population; Geographic information system; Georeference; Cartography; Geography; Programming language","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":[0.002552273,0.001080867,0.0006188461,0.0004907994,0.0002531875,0.001294077,0.001837835,0.0009187274,0.008936274],"category_scores_gemma":[0.005236703,0.000598503,0.0008659105,0.0004143157,0.0005444626,0.001403863,0.0018142,0.00114906,0.002632413],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003592462,"about_ca_system_score_gemma":0.001297126,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002802382,"about_ca_topic_score_gemma":0.001553858,"domain_scores_codex":[0.9990243,0.0003811637,0.00005820069,0.0001398194,0.0003190484,0.00007742192],"domain_scores_gemma":[0.997586,0.001303161,0.0001089477,0.0003988875,0.0004107065,0.0001922325],"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":[0.0005098012,0.0002689996,0.004852568,0.0005496092,0.0001807986,0.0005945885,0.0005847567,0.6598039,0.0210598,0.03091694,0.03421347,0.2464648],"study_design_scores_gemma":[0.0001892029,0.0002727365,0.00117124,0.00007851979,0.00004627541,0.0002732447,0.00005494006,0.9168732,0.01616106,0.008034281,0.05676727,0.00007795601],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.03185325,0.0002920649,0.9280453,0.0003848805,0.0003089253,0.0002712876,0.001365035,0.02885375,0.008625496],"genre_scores_gemma":[0.2209975,0.0007319341,0.7582762,0.0003156117,0.0001089935,0.001096648,0.004329518,0.007420338,0.006723334],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.008936274,"threshold_uncertainty_score":0.02989483,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02828052304351822,"score_gpt":0.3088347494680858,"score_spread":0.2805542264245675,"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."}}