{"id":"W3217594947","doi":"10.2196/33365","title":"Effective Treatment Strategies for the Removal of Antibiotic-Resistant Bacteria, Antibiotic-Resistance Genes, and Antibiotic Residues in the Effluent From Wastewater Treatment Plants Receiving Municipal, Hospital, and Domestic Wastewater: Protocol for a Systematic Review","year":2021,"lang":"en","type":"review","venue":"JMIR Research Protocols","topic":"Pharmaceutical and Antibiotic Environmental Impacts","field":"Environmental Science","cited_by":31,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Effluent; Antibiotic resistance; Antibiotics; Sewage treatment; Medicine; Wastewater; Biotechnology; Waste management; Biology; Microbiology; Engineering","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.05676366,0.004748518,0.01653757,0.01379563,0.003590399,0.005295388,0.004586436,0.005682668,0.02302092],"category_scores_gemma":[0.07956733,0.003281493,0.0146532,0.01320297,0.003524503,0.005923694,0.003878435,0.002909953,0.00302493],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.01580988,"about_ca_system_score_gemma":0.0731599,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.008291109,"about_ca_topic_score_gemma":0.0209855,"domain_scores_codex":[0.9601865,0.01388471,0.01684545,0.002096115,0.005112913,0.001874228],"domain_scores_gemma":[0.9524693,0.01521333,0.01230462,0.002677378,0.01598928,0.001346042],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"systematic_review","study_design_gemma":"systematic_review","study_design_scores_codex":[0.001842366,0.0001413969,0.00084354,0.9540489,0.002994749,0.0004001349,0.0008804381,0.0004652184,0.0009957945,0.001023184,0.008333949,0.02803037],"study_design_scores_gemma":[0.0146644,0.002069123,0.007764127,0.8049011,0.03507707,0.0007072953,0.001925562,0.001010303,0.003270829,0.00289221,0.1252847,0.0004333374],"study_design_candidate":"systematic_review","study_design_consensus":"systematic_review","genre_codex":"protocol","genre_gemma":"protocol","genre_scores_codex":[0.001327201,0.009413156,0.001718751,0.0007073578,0.0003488597,0.9805176,0.004923021,0.00009171243,0.0009524864],"genre_scores_gemma":[0.00215701,0.007320071,0.007165848,0.0004966254,0.0000534665,0.9809119,0.00129332,0.00001394238,0.0005878924],"genre_candidate":"protocol","genre_consensus":"protocol","teacher_disagreement_score":0.05676366,"threshold_uncertainty_score":0.3001986,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1637125194650817,"score_gpt":0.4886770306800399,"score_spread":0.3249645112149582,"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."}}