{"id":"W1978101088","doi":"10.1016/j.scitotenv.2009.12.012","title":"Biodegradation of pharmaceuticals by Rhodococcus rhodochrous and Aspergillus niger by co-metabolism","year":2010,"lang":"en","type":"article","venue":"The Science of The Total Environment","topic":"Pharmaceutical and Antibiotic Environmental Impacts","field":"Environmental Science","cited_by":209,"is_retracted":false,"has_abstract":false,"ca_institutions":"McGill University","funders":"Natural Sciences and Engineering Research Council of Canada; Fonds Québécois de la Recherche sur la Nature et les Technologies","keywords":"Rhodococcus rhodochrous; Biodegradation; Cometabolism; Aspergillus niger; Microbial biodegradation; Rhodococcus; Chemistry; Metabolite; Microorganism; Biotransformation; Environmental chemistry; Metabolism; Aspergillus flavus; Bioremediation; Biology; Food science; Biochemistry; Bacteria; Organic chemistry; Contamination; Enzyme; Ecology","routes":{"ca_aff":true,"ca_fund":true,"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":[0.0003061508,0.0006797435,0.0004902864,0.000358849,0.0002148132,0.0008058943,0.0003950329,0.0004773927,0.0004811537],"category_scores_gemma":[0.0003603292,0.0001920414,0.00057336,0.0003102287,0.0002628052,0.0004970616,0.0006532064,0.0004287133,0.0004513369],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004936866,"about_ca_system_score_gemma":0.0004878336,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005269286,"about_ca_topic_score_gemma":0.004269307,"domain_scores_codex":[0.9995856,0.00007437304,0.00006522321,0.00007225248,0.0001122719,0.00009038169],"domain_scores_gemma":[0.9998267,0.00003302579,0.00003754889,0.00003176507,0.00004265397,0.00002827417],"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":[0.0003829555,0.0001253588,0.001046949,0.00005809393,0.0000210838,0.0001746008,0.00003613587,0.0003761887,0.9922513,0.0001756073,0.00006438071,0.005287282],"study_design_scores_gemma":[0.00002237656,0.0004213777,0.003098533,0.00000988118,0.00004209893,0.0003668863,0.0001049059,0.001280147,0.993517,0.00007338271,0.001046149,0.00001720441],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9963679,0.001035649,0.0007177145,0.0001289345,0.00002681122,0.00002038158,0.0001292869,0.00002749049,0.001545739],"genre_scores_gemma":[0.9962308,0.0006316025,0.001303554,0.00002246898,0.000006398928,0.00001439677,0.0002284021,0.00001175262,0.00155053],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.005269286,"threshold_uncertainty_score":0.01047724,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01354676057078055,"score_gpt":0.2732804888018605,"score_spread":0.25973372823108,"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."}}