{"id":"W2286554333","doi":"10.1139/er-2015-0069","title":"Antibiotic resistance genes as an emerging environmental contaminant","year":2016,"lang":"en","type":"article","venue":"Environmental Reviews","topic":"Pharmaceutical and Antibiotic Environmental Impacts","field":"Environmental Science","cited_by":207,"is_retracted":false,"has_abstract":true,"ca_institutions":"Public Health Ontario; Queen's University","funders":"","keywords":"Microbiome; Antibiotic resistance; Antibiotics; Human health; Resistance (ecology); Biotechnology; Biology; Environmental planning; Environmental health; Ecology; Environmental science; Bioinformatics; Medicine; Microbiology","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.0005781329,0.0006280742,0.0005794829,0.00004645062,0.0003444107,0.00004332788,0.0006432754,0.0001426696,0.0130363],"category_scores_gemma":[0.0000387541,0.0004164797,0.0002606346,0.0001171605,0.001007463,0.001029304,0.0004936896,0.0002006318,0.02853132],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006983651,"about_ca_system_score_gemma":0.000005504209,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00002086491,"about_ca_topic_score_gemma":0.00002264064,"domain_scores_codex":[0.9960543,0.0003233175,0.0007748111,0.001142927,0.0007145727,0.0009900928],"domain_scores_gemma":[0.9979854,0.00007258335,0.0002861125,0.0008656686,1.620154e-7,0.0007901322],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00004697061,0.0005654807,0.05792514,0.000009906505,0.00001655433,0.00006741748,0.0001076856,0.000001332783,0.7112372,0.00002567788,0.001093138,0.2289035],"study_design_scores_gemma":[0.001107642,0.0002779916,0.1062852,0.0001717674,0.00008040707,0.00008253213,0.0001200545,0.00002626608,0.1298606,0.0003001766,0.7607411,0.0009463818],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.983798,0.005961655,0.0002654452,0.0007139437,0.0002514339,0.0009068849,0.00005553962,0.00008330963,0.007963789],"genre_scores_gemma":[0.9584623,0.02562753,0.001030962,0.001343476,0.0001161261,0.00002033085,0.0000342419,0.0000791251,0.01328591],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.7596479,"threshold_uncertainty_score":0.9998287,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03015326801546389,"score_gpt":0.2979572734235689,"score_spread":0.2678040054081051,"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."}}