{"id":"W3108379077","doi":"10.3389/fvets.2020.596042","title":"Feedlot Cattle Antimicrobial Use Surveillance Network: A Canadian Journey","year":2020,"lang":"en","type":"review","venue":"Frontiers in Veterinary Science","topic":"Pharmaceutical and Antibiotic Environmental Impacts","field":"Environmental Science","cited_by":15,"is_retracted":false,"has_abstract":true,"ca_institutions":"Public Health Agency of Canada; University of Alberta; Agriculture and Agri-Food Canada; Alberta Health Services","funders":"","keywords":"Feedlot; Antimicrobial stewardship; Antimicrobial; Business; One Health; Scrutiny; Biotechnology; Public health; Environmental health; Medicine; Antibiotic resistance; Biology; Political science; Animal science","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0007153301,0.0005268168,0.001078491,0.0002636951,0.0003804402,0.0002450835,0.001535508,0.0001919702,0.0003547546],"category_scores_gemma":[0.0001305641,0.0004699695,0.0002005012,0.002407805,0.001799005,0.0008779799,0.0008642839,0.0006799237,0.000701886],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001856067,"about_ca_system_score_gemma":0.0005094417,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00636274,"about_ca_topic_score_gemma":0.001137304,"domain_scores_codex":[0.9961367,0.0002124283,0.0005402555,0.001078515,0.00050283,0.001529307],"domain_scores_gemma":[0.9980593,0.00005451119,0.0001903543,0.0004578668,0.000003943098,0.001233983],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00002488184,0.0001323024,0.01157497,0.0008794529,0.00003532041,0.001109766,0.000141207,0.000754118,0.0001185857,0.00001213039,0.0762291,0.9089882],"study_design_scores_gemma":[0.000117202,0.0001271658,0.007985082,0.0009851455,0.00002696232,0.000283505,0.000006817527,0.0002344761,0.000001851509,0.000009944248,0.9896426,0.0005793056],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.004298246,0.9831545,0.000194846,0.0003869559,0.004625439,0.001314121,0.0002549962,0.00007792118,0.005692973],"genre_scores_gemma":[0.004613401,0.9892333,0.004807598,0.000699093,0.0001394412,0.000006273113,0.00002647736,0.00004967358,0.0004247051],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.9134135,"threshold_uncertainty_score":0.9997752,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.07468824318316256,"score_gpt":0.3174181036980498,"score_spread":0.2427298605148873,"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."}}