{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001007504,0.0003801441,0.0004742779,0.001464051,0.0006456603,0.003359073,0.0004551172,0.001755951,0.00599594],"category_scores_gemma":[0.00313569,0.00020181,0.0003056577,0.001462348,0.001845113,0.003151331,0.0009113225,0.0009234358,0.0008846101],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007152747,"about_ca_system_score_gemma":0.0008399176,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001531815,"about_ca_topic_score_gemma":0.001624479,"domain_scores_codex":[0.9989396,0.0003140148,0.00008898318,0.0002094355,0.0002902579,0.0001578389],"domain_scores_gemma":[0.9971077,0.001244326,0.0009455836,0.0001422567,0.0003743754,0.0001857655],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"observational","study_design_scores_codex":[0.000553238,0.0006529762,0.3432526,0.003750433,0.0002332986,0.007244315,0.002002997,0.0008417685,0.02780436,0.01124134,0.005630021,0.5967926],"study_design_scores_gemma":[0.00005643905,0.001498124,0.6507394,0.003643507,0.0004686328,0.02656905,0.02761246,0.002190118,0.0358484,0.03014683,0.2209414,0.0002856652],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6983083,0.2023489,0.0100041,0.05597713,0.001054403,0.0001369972,0.000763654,0.0001956184,0.0312109],"genre_scores_gemma":[0.8576428,0.1255727,0.004582084,0.003510429,0.0009930755,0.00004576428,0.000373347,0.00003474114,0.007245144],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.00599594,"threshold_uncertainty_score":0.02005839,"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."}}