{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006182367,0.0002184837,0.0009299315,0.0001951026,0.00003602462,0.000009261041,0.00005784242,0.000172907,0.0002671461],"category_scores_gemma":[0.0005804003,0.0002068314,0.00006268075,0.0001270311,0.0002988552,0.00004942846,0.00003951575,0.00010224,7.906873e-8],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00004024402,"about_ca_system_score_gemma":0.0003751603,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002422438,"about_ca_topic_score_gemma":0.002219483,"domain_scores_codex":[0.9981658,0.0001286214,0.0009501367,0.0003315565,0.0002209149,0.000202935],"domain_scores_gemma":[0.9983815,0.000417989,0.000602523,0.0003310144,0.0001886746,0.00007829018],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00749863,0.002364269,0.6446687,0.1506235,0.0003741476,0.000001580068,0.001205803,0.000208036,0.0000315015,0.05216475,0.01343307,0.127426],"study_design_scores_gemma":[0.02266129,0.01537083,0.4468946,0.02010985,0.002104669,0.00001258856,0.0009328363,0.1083756,0.0001092067,0.0545853,0.3269745,0.001868861],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"methods","genre_scores_codex":[0.5949733,0.006000258,0.2257408,0.0009969742,0.001117308,0.06634232,0.0967472,0.000269185,0.007812709],"genre_scores_gemma":[0.3067742,0.000876517,0.6835555,0.0002612187,0.0002401364,0.0007187003,0.00559,0.0002741369,0.001709578],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.4578147,"threshold_uncertainty_score":0.8434342,"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."}}