{"id":"W4389301585","doi":"10.3389/fsybi.2023.1301879","title":"Influence of three different manure treatments on antimicrobial resistance genes and mobile genetic elements","year":2023,"lang":"en","type":"article","venue":"Frontiers in Synthetic Biology","topic":"Pharmaceutical and Antibiotic Environmental Impacts","field":"Environmental Science","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Manitoba","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Mobile genetic elements; Manure; Biology; Antibiotic resistance; Biotechnology; Metagenomics; Antimicrobial; Food science; Agronomy; Microbiology; Antibiotics; Gene; Genetics; Plasmid","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":[0.0000870743,0.0001761718,0.0002540118,0.00006765159,0.00005100591,0.000004892585,0.0001831464,0.00009337505,0.00008656298],"category_scores_gemma":[0.00001348603,0.0001368261,0.00003526209,0.0001515552,0.000590759,0.00003640317,0.0001812339,0.00008581184,0.00007555773],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0000817842,"about_ca_system_score_gemma":0.000002514421,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00002823786,"about_ca_topic_score_gemma":0.0000227879,"domain_scores_codex":[0.9988132,0.0000693783,0.000261376,0.0003801471,0.0001088591,0.0003670634],"domain_scores_gemma":[0.9995983,0.00003829216,0.00007457621,0.0001987093,0.000001324477,0.00008882929],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00005563688,0.0001640964,0.8484684,0.00002167566,0.00002293097,0.00001193157,0.00006909925,0.0008761556,0.1318694,0.000009980515,0.0004438787,0.01798679],"study_design_scores_gemma":[0.0006580691,0.0001856279,0.9381505,0.00007030552,0.00002474938,0.000003001857,0.00002761629,0.0004317263,0.05768933,0.00134738,0.001228113,0.000183594],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9988611,0.0002057373,0.00006872057,0.0001137876,0.000133497,0.0002955008,0.00004349853,0.00001892336,0.0002591946],"genre_scores_gemma":[0.9974956,0.001081087,0.001035838,0.0001123678,0.000008383997,0.00001610536,0.000008333461,0.0000116585,0.0002306451],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.08968209,"threshold_uncertainty_score":0.5579606,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01300098895933252,"score_gpt":0.2560413170439972,"score_spread":0.2430403280846647,"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."}}