{"id":"W2944697948","doi":"10.1111/tbed.13220","title":"Dynamic contact networks of swine movement in Manitoba, Canada: Characterization and implications for infectious disease spread","year":2019,"lang":"en","type":"article","venue":"Transboundary and Emerging Diseases","topic":"Animal Disease Management and Epidemiology","field":"Agricultural and Biological Sciences","cited_by":8,"is_retracted":false,"has_abstract":true,"ca_institutions":"Vector Institute; University of Calgary; University of Guelph","funders":"Natural Sciences and Engineering Research Council of Canada; Ontario Ministry of Agriculture, Food and Rural Affairs","keywords":"Truck; Geography; Construct (python library); Infectious disease (medical specialty); Disease; Computer science; Medicine; Engineering","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":true,"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":[0.0003757263,0.0002306147,0.0002399013,0.003103228,0.001431634,0.0009911711,0.0007280261,0.0002969424,0.001077758],"category_scores_gemma":[0.003051311,0.0002041973,0.0002878648,0.00747395,0.000718701,0.0004431171,0.0008431905,0.0003114734,0.0001313318],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.01503586,"about_ca_system_score_gemma":0.01129511,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9842344,"about_ca_topic_score_gemma":0.9933712,"domain_scores_codex":[0.9996681,0.0000402909,0.00001360772,0.00009456708,0.00008090008,0.0001025362],"domain_scores_gemma":[0.9981799,0.000410139,0.0004425218,0.000116106,0.0006275871,0.0002237887],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00004810184,0.00003128844,0.9681488,0.00006572072,0.00008056403,0.0001366517,0.002353719,0.01060098,0.00142693,0.001794187,0.00164311,0.01366985],"study_design_scores_gemma":[0.000004309898,0.00001450845,0.9758266,0.00002508143,0.00002654078,0.00009006587,0.002876307,0.0171498,0.0002130261,0.0004908253,0.003267546,0.00001547378],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9914919,0.0003103352,0.001314076,0.0002207704,0.000003143549,0.00004094531,0.00449345,0.00002652409,0.002098902],"genre_scores_gemma":[0.9939866,0.0002535606,0.00151084,0.0000332931,0.000002477582,0.0000220884,0.003267121,0.000006843009,0.0009171728],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01576561,"threshold_uncertainty_score":0.1090933,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01063390293841091,"score_gpt":0.2144594346974207,"score_spread":0.2038255317590097,"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."}}