{"id":"W3120995809","doi":"","title":"Dissemination of Antibiotic Resistance Genes into natural environments and Wastewater Treatment Plants - Is there a link?","year":2017,"lang":"en","type":"article","venue":"URSCA Proceedings","topic":"Pharmaceutical and Antibiotic Environmental Impacts","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Mount Royal University","funders":"","keywords":"Antibiotics; Sewage treatment; Sewage; Antibiotic resistance; Wastewater; Resistance (ecology); Biology; Natural (archaeology); Bacteria; Biotechnology; Ecology; Microbiology; Environmental engineering; Environmental science; Genetics","routes":{"ca_aff":true,"ca_fund":false,"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":[0.00008263087,0.0001991338,0.0001866481,0.00001994113,0.0002993134,0.00007845963,0.0002358155,0.00006883077,0.0002097507],"category_scores_gemma":[0.00002068934,0.0001461565,0.00004361724,0.00002295536,0.0005163896,0.0004878026,0.0002329531,0.00007202969,0.0000831736],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001145078,"about_ca_system_score_gemma":0.000001834078,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00005901042,"about_ca_topic_score_gemma":0.000009772863,"domain_scores_codex":[0.9989337,0.000005282169,0.0001759346,0.0003568777,0.0002619104,0.0002663239],"domain_scores_gemma":[0.9994974,0.00001656734,0.0001736451,0.0001707643,0.00000173841,0.0001398547],"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":[0.00006313116,0.0001544043,0.2481991,0.00005627699,0.00003113077,0.000006604087,0.001501123,5.077621e-7,0.7286137,0.00002506942,0.0004258657,0.02092302],"study_design_scores_gemma":[0.0003075971,0.0000946935,0.3836568,0.0001292732,0.00003045772,0.000006427963,0.0001313459,0.0001746707,0.6107164,0.0001986675,0.004388244,0.0001654197],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.993767,0.0004751391,0.000001146796,0.001269341,0.00005721656,0.0001962677,0.00001328769,0.00001113363,0.004209496],"genre_scores_gemma":[0.9930151,0.001009776,0.0004022313,0.00005839208,0.00003348538,0.000002038381,0.000003566351,0.00001590374,0.005459485],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1354577,"threshold_uncertainty_score":0.5960091,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0153293085926784,"score_gpt":0.2780941405205598,"score_spread":0.2627648319278814,"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."}}