{"id":"W2325293336","doi":"10.1016/j.scitotenv.2016.03.057","title":"Degradation of the pharmaceuticals diclofenac and sulfamethoxazole and their transformation products under controlled environmental conditions","year":2016,"lang":"en","type":"article","venue":"The Science of The Total Environment","topic":"Pharmaceutical and Antibiotic Environmental Impacts","field":"Environmental Science","cited_by":124,"is_retracted":false,"has_abstract":false,"ca_institutions":"Université de Sherbrooke; Environment and Climate Change Canada","funders":"","keywords":"Biodegradation; Chemistry; Environmental chemistry; Diclofenac; Anaerobic exercise; Effluent; Sulfamethoxazole; Degradation (telecommunications); Environmental remediation; Redox; Contamination; Environmental engineering; Environmental science; Organic chemistry; Ecology; Biology; Antibiotics; Biochemistry; Physiology","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":[0.0002551287,0.0003070995,0.0002653965,0.0001896362,0.0002620839,0.0004079976,0.0001682591,0.0004308698,0.0007985278],"category_scores_gemma":[0.0003501359,0.0001577487,0.0002701647,0.0002724215,0.0003075794,0.0002488213,0.0001337359,0.0002691574,0.000191664],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004974934,"about_ca_system_score_gemma":0.0004615852,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.006478134,"about_ca_topic_score_gemma":0.007816547,"domain_scores_codex":[0.9995783,0.00006500348,0.00003198777,0.00007759951,0.000141993,0.0001051055],"domain_scores_gemma":[0.9998935,0.0000244669,0.00003063068,0.000009528024,0.00003241127,0.00000944155],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.0005729418,0.00004367904,0.0006941935,0.0000411217,0.00001327052,0.0001037101,0.00006562837,0.0005704035,0.9950984,0.0001007793,0.00005508939,0.002640695],"study_design_scores_gemma":[0.00001703843,0.000371625,0.003162003,0.000003292807,0.00001117917,0.00007576079,0.00007095063,0.001049351,0.9944468,0.00003231424,0.0007504745,0.000009192054],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9981511,0.0002443156,0.0005769238,0.0000229266,0.000006859082,0.000009407281,0.0002216736,0.00001136877,0.0007552705],"genre_scores_gemma":[0.9980536,0.0002933847,0.0005237151,0.00001017611,0.000002910677,0.000006777409,0.0002660212,0.000005932551,0.0008376174],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.006478134,"threshold_uncertainty_score":0.01288086,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02150917344586041,"score_gpt":0.2607645015311918,"score_spread":0.2392553280853314,"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."}}