{"id":"W2949741751","doi":"10.3390/microorganisms7060180","title":"Antibiotic Pollution in the Environment: From Microbial Ecology to Public Policy","year":2019,"lang":"en","type":"review","venue":"Microorganisms","topic":"Pharmaceutical and Antibiotic Environmental Impacts","field":"Environmental Science","cited_by":1014,"is_retracted":false,"has_abstract":true,"ca_institutions":"Concordia University","funders":"","keywords":"Antibiotic resistance; Unintended consequences; Antibiotics; Resistance (ecology); Cornerstone; Environmental planning; Ecology; Pollution; Biology; Environmental health; Environmental resource management; Geography; Political science; Medicine; Environmental science; Microbiology","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":[0.0006851332,0.0007931998,0.001106749,0.002453475,0.0004616272,0.001980482,0.0007270558,0.002289421,0.003659048],"category_scores_gemma":[0.001247226,0.0002345499,0.0005056534,0.003562849,0.001185782,0.002229999,0.001153852,0.002006757,0.00103292],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001484002,"about_ca_system_score_gemma":0.003431957,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002692934,"about_ca_topic_score_gemma":0.003881465,"domain_scores_codex":[0.9995776,0.0001039813,0.00004715329,0.0000656784,0.0001527002,0.00005293559],"domain_scores_gemma":[0.9991995,0.0004704442,0.0001030459,0.00002429727,0.0001542145,0.0000485889],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00005645469,0.00008955668,0.0004995347,0.03860761,0.0001244646,0.0003176182,0.0003467368,0.001136264,0.002245957,0.0495405,0.04342556,0.8636098],"study_design_scores_gemma":[0.000003768399,0.00004808008,0.0009551783,0.009232759,0.0000575079,0.0003685149,0.0002586211,0.0001079688,0.0004071001,0.00904452,0.9794981,0.00001793543],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.0001762569,0.9957435,0.0001467425,0.001615036,0.0003234211,0.000002534807,0.00001856641,0.000007081718,0.001966959],"genre_scores_gemma":[0.001083647,0.9978263,0.00009585335,0.0003967875,0.0002032128,0.000002617376,0.00001169197,0.000001222556,0.0003787243],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.003659048,"threshold_uncertainty_score":0.01224071,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04577404176209975,"score_gpt":0.3065441945940637,"score_spread":0.260770152831964,"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."}}