{"id":"W3107980770","doi":"10.1139/er-2020-0087","title":"Antibiotic resistance genes in the aquaculture sector: global reports and research gaps","year":2020,"lang":"en","type":"article","venue":"Environmental Reviews","topic":"Pharmaceutical and Antibiotic Environmental Impacts","field":"Environmental Science","cited_by":8,"is_retracted":false,"has_abstract":true,"ca_institutions":"Carleton University; International Development Research Centre","funders":"International Development Research Centre","keywords":"Aquaculture; Antibiotic resistance; Biotechnology; Biology; Identification (biology); Investment (military); Systematic review; Business; Geography; Ecology; Antibiotics; Fishery; Fish <Actinopterygii>; Political science; MEDLINE; Microbiology","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":true,"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":[0.01695813,0.0009726514,0.002922246,0.03276108,0.0007150978,0.006848965,0.001481755,0.002857852,0.004814445],"category_scores_gemma":[0.07155219,0.001003483,0.002647238,0.04770408,0.002651755,0.006459244,0.003104637,0.001609516,0.0006692554],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00403521,"about_ca_system_score_gemma":0.01648263,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01190835,"about_ca_topic_score_gemma":0.01653438,"domain_scores_codex":[0.9843329,0.003825238,0.006745094,0.00154502,0.002951419,0.0006003306],"domain_scores_gemma":[0.8082862,0.1498989,0.02568131,0.001935832,0.01306566,0.001132049],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"systematic_review","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0002042457,0.00005787681,0.01060895,0.5466222,0.001497559,0.0007198034,0.003522125,0.0004019811,0.0005518353,0.005013604,0.01429669,0.4165031],"study_design_scores_gemma":[0.0000476501,0.0001759061,0.02832579,0.7634702,0.007376938,0.001986299,0.007557641,0.0002249627,0.0004078175,0.003755407,0.1865829,0.00008840897],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.001277161,0.9948233,0.00009926292,0.002772816,0.0001861375,0.00001398295,0.0003113732,0.000007258855,0.0005087372],"genre_scores_gemma":[0.009141823,0.9890015,0.0003370637,0.001023991,0.0002065857,0.00003288496,0.0002001383,0.000005764039,0.00005019754],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.03276108,"threshold_uncertainty_score":0.08968425,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.08486138636371719,"score_gpt":0.3500343675448027,"score_spread":0.2651729811810855,"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."}}