{"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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.0003678842,0.0006077738,0.001029913,0.0001723192,0.0001406606,0.0001202754,0.001300035,0.0004297652,0.003853914],"category_scores_gemma":[0.00004925699,0.0004249277,0.0002850132,0.0006271743,0.0003235563,0.0001642819,0.0009327735,0.0006254276,0.04299026],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001256417,"about_ca_system_score_gemma":0.00007533374,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0004558014,"about_ca_topic_score_gemma":0.00009482235,"domain_scores_codex":[0.996725,0.0004568838,0.0006164071,0.0009086923,0.000336725,0.0009563158],"domain_scores_gemma":[0.9986814,0.0001298726,0.0001993194,0.0007224852,9.68343e-7,0.0002659482],"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":[0.000009937316,0.001299174,0.001255568,0.0008888828,0.000132946,0.000166493,0.0005427681,0.00002796706,0.04109128,0.0001516609,0.006922019,0.9475113],"study_design_scores_gemma":[0.0002706012,0.00008319924,0.003078063,0.0003732866,0.0001802473,0.00006644057,0.00002409945,0.000001265398,0.0006580527,0.00006635108,0.9946779,0.0005205217],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.01512395,0.9673994,0.00007914306,0.007949637,0.0007336715,0.004099867,0.0007932,0.00008075188,0.003740357],"genre_scores_gemma":[0.02750266,0.9636039,0.0003865821,0.007102855,0.0002446778,0.000009806918,0.0002593523,0.0001028755,0.0007873537],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.9877558,"threshold_uncertainty_score":0.9998202,"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."}}