{"id":"W2889611508","doi":"10.1016/j.prevetmed.2018.09.021","title":"A descriptive analysis of swine movements in Ontario (Canada) as a contributor to disease spread","year":2018,"lang":"en","type":"article","venue":"Preventive Veterinary Medicine","topic":"Animal Disease Management and Epidemiology","field":"Agricultural and Biological Sciences","cited_by":6,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Guelph","funders":"Ontario Ministry of Agriculture, Food and Rural Affairs","keywords":"Herd; Veterinary medicine; Livestock; Duration (music); Betweenness centrality; Statistics; Biology; Animal science; Mathematics; Ecology; Medicine","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":[0.0005830422,0.00028758,0.0003000672,0.002313668,0.002112219,0.001156905,0.001159279,0.0004474974,0.002119],"category_scores_gemma":[0.003219857,0.0003188763,0.0006215862,0.006508739,0.0007528153,0.0003889303,0.001129127,0.0005993122,0.0001552363],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.02276142,"about_ca_system_score_gemma":0.04544255,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9951289,"about_ca_topic_score_gemma":0.9972739,"domain_scores_codex":[0.9989927,0.00007497008,0.000105931,0.0001181221,0.0003551707,0.0003530424],"domain_scores_gemma":[0.9964533,0.0003917052,0.001094995,0.000105701,0.001367562,0.0005867096],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0000406781,0.00001728709,0.9961572,0.00003366893,0.00003539666,0.00008675611,0.001102715,0.0001512433,0.0001438162,0.00009066879,0.0004489742,0.001691461],"study_design_scores_gemma":[0.000001557696,0.00001956422,0.9967259,0.00001531074,0.00001289058,0.00002993098,0.00232111,0.00017544,0.00002341502,0.000008851794,0.0006614922,0.000004511083],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9889646,0.0003002609,0.000210652,0.0001657161,0.000006439135,0.00009380549,0.007678377,0.00001114162,0.002568978],"genre_scores_gemma":[0.9948487,0.0003807203,0.0002929459,0.00005838627,0.000004443257,0.00004504424,0.002682681,0.000005572317,0.001681523],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02276142,"threshold_uncertainty_score":0.1651464,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05095454253016398,"score_gpt":0.2841900618124865,"score_spread":0.2332355192823225,"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."}}