{"id":"W4380415292","doi":"10.1021/acs.est.3c00159","title":"Toward a Universal Unit for Quantification of Antibiotic Resistance Genes in Environmental Samples","year":2023,"lang":"en","type":"article","venue":"Environmental Science & Technology","topic":"Pharmaceutical and Antibiotic Environmental Impacts","field":"Environmental Science","cited_by":157,"is_retracted":false,"has_abstract":true,"ca_institutions":"McMaster University; Agriculture and Agri-Food Canada; McGill University","funders":"Eidgenössische Anstalt für Wasserversorgung Abwasserreinigung und Gewässerschutz; Rijksinstituut voor Volksgezondheid en Milieu; Natural Environment Research Council; Medical Research Council; Tsinghua Shenzhen International Graduate School; Universidade Federal do Rio de Janeiro; College of Engineering, Michigan State University; Indian Institute of Technology Delhi; University of Cyprus; Technische Universität Dresden; University of New South Wales; Chung-Ang University; Aalborg Universitet; Engineering and Physical Sciences Research Council; Technische Universiteit Delft; Université de Lyon; Sun Yat-sen University; University of Queensland; Centre National de la Recherche Scientifique; Southern Cross University; University of Hong Kong; Sight Research UK; Michigan State University; Tsinghua University; North-West University; Research Grants Council, University Grants Committee; Wellcome Trust; McGill University; McMaster University","keywords":"Biology; Antibiotic resistance; Comparability; Gene; Human health; Computational biology; Copy-number variation; Biotechnology; Genome; Genetics; Antibiotics; Medicine; Environmental health","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.02323775,0.002602971,0.002510041,0.007577747,0.001229198,0.004957879,0.003573856,0.004388378,0.001781491],"category_scores_gemma":[0.03304451,0.001144921,0.001262009,0.006599105,0.002585621,0.004870608,0.005301993,0.002832484,0.002116703],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001876302,"about_ca_system_score_gemma":0.002294658,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001990527,"about_ca_topic_score_gemma":0.002556959,"domain_scores_codex":[0.9610454,0.01768359,0.004003145,0.006238095,0.009882132,0.001147613],"domain_scores_gemma":[0.9784256,0.006434595,0.003770965,0.003346821,0.007477837,0.0005440979],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.0008563143,0.0007210064,0.09755905,0.004807771,0.0004420174,0.0002888347,0.002430199,0.006814179,0.5414283,0.03582186,0.009739966,0.2990904],"study_design_scores_gemma":[0.00005675326,0.00206717,0.04359557,0.002067508,0.0005707371,0.001253701,0.003075346,0.04053835,0.8065605,0.02225107,0.07754711,0.0004162088],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.124746,0.01114632,0.8305488,0.002759413,0.001439566,0.001216856,0.007274483,0.005734818,0.01513389],"genre_scores_gemma":[0.2054684,0.002717652,0.781359,0.001239253,0.0002336173,0.002102722,0.004058812,0.0003749101,0.002445498],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.02323775,"threshold_uncertainty_score":0.1228945,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04765167155669942,"score_gpt":0.2882849719941377,"score_spread":0.2406333004374383,"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."}}