{"id":"W2154855056","doi":"10.1017/s0950268815000722","title":"Scoping review to identify potential non-antimicrobial interventions to mitigate antimicrobial resistance in commensal enteric bacteria in North American cattle production systems","year":2015,"lang":"en","type":"article","venue":"Epidemiology and Infection","topic":"Pharmaceutical and Antibiotic Environmental Impacts","field":"Environmental Science","cited_by":46,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Guelph","funders":"Public Health Agency; Public Health Agency of Canada; Colorado State University; U.S. Department of Agriculture","keywords":"Antimicrobial; Antibiotic resistance; Psychological intervention; Biology; Population; Environmental health; Drug resistance; Medicine; Microbiology; Antibiotics; Biotechnology; Veterinary medicine","routes":{"ca_aff":true,"ca_fund":true,"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":[0.001303604,0.0001615343,0.0004355078,0.00009933288,0.00007514462,0.00001550771,0.00008356934,0.00004820243,0.00003316514],"category_scores_gemma":[0.0004201217,0.0001570064,0.00005626021,0.000476218,0.0002006941,0.0002637126,0.0001864524,0.000193036,0.0002241913],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002417066,"about_ca_system_score_gemma":0.000008971238,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00198753,"about_ca_topic_score_gemma":0.008847431,"domain_scores_codex":[0.9979419,0.0005492519,0.0006076799,0.0004485165,0.00006756247,0.0003850604],"domain_scores_gemma":[0.9994071,0.00004429754,0.0001581853,0.0001458935,0.00000662197,0.0002378919],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001070711,0.0002232983,0.952975,0.001166738,0.000008142483,0.000007844465,0.0001595179,0.004487422,0.03105454,0.000002309319,0.009013319,0.0007948336],"study_design_scores_gemma":[0.0002877021,0.0001230027,0.9925123,0.005608438,0.00001881295,0.00003176301,0.000009045069,0.00006013606,0.0009399109,0.000006612214,0.0002146914,0.0001875207],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9935504,0.0001915168,0.0008560734,0.003570056,0.000782015,0.0009398128,0.000008366788,0.00001872614,0.00008309083],"genre_scores_gemma":[0.9959893,0.001062253,0.0004055499,0.00234078,0.00007429504,0.00003039446,0.00002493994,0.00001024606,0.00006230832],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0395374,"threshold_uncertainty_score":0.6402537,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06220970213829551,"score_gpt":0.3739141850151928,"score_spread":0.3117044828768973,"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."}}