{"id":"W2077946128","doi":"10.1016/j.biortech.2008.09.048","title":"Bioaugmentation of microbial communities in laboratory and pilot scale sequencing batch biofilm reactors using the TOL plasmid","year":2008,"lang":"en","type":"article","venue":"Bioresource Technology","topic":"Microbial bioremediation and biosurfactants","field":"Environmental Science","cited_by":78,"is_retracted":false,"has_abstract":false,"ca_institutions":"Toronto Metropolitan University","funders":"Deutsches Zentrum für Luft- und Raumfahrt","keywords":"Bioaugmentation; Plasmid; Biofilm; Microbiology; Pseudomonas putida; Microbial consortium; Bioreactor; Chemistry; Wastewater; Inoculation; Pseudomonas; Biodegradation; Degradation (telecommunications); Pseudomonadaceae; Pseudomonadales; Bioremediation; Bacteria; Biology; Microorganism; Environmental engineering; Gene; Biochemistry; Environmental science; Organic chemistry","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":[0.0006359015,0.0004475965,0.0004239686,0.0003280662,0.0002799207,0.0006799615,0.0003850569,0.0003493385,0.0003660999],"category_scores_gemma":[0.0007873425,0.0002199551,0.0003963972,0.0004676098,0.0003277533,0.0005071894,0.0004656936,0.0006415325,0.000137551],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004602429,"about_ca_system_score_gemma":0.0006620687,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003443609,"about_ca_topic_score_gemma":0.002970359,"domain_scores_codex":[0.9995756,0.0001052814,0.00005069811,0.00008163885,0.0001040921,0.00008277166],"domain_scores_gemma":[0.9996759,0.0001333292,0.00004481049,0.00003270933,0.00004928158,0.00006399328],"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":[0.0003401234,0.0001467759,0.0007709319,0.00003523851,0.00001033355,0.00002208116,0.00007216041,0.0002646119,0.9960703,0.00005706894,0.00002840519,0.002182114],"study_design_scores_gemma":[0.00005146239,0.0008660806,0.006479436,0.000009258431,0.00003577712,0.0000784936,0.0001421754,0.003142415,0.9887638,0.0001046736,0.0003097529,0.00001658025],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.998188,0.0001509054,0.001203965,0.0000550282,0.00001248347,0.00001417281,0.000196628,0.00001942632,0.0001594783],"genre_scores_gemma":[0.9945346,0.0002956146,0.004045307,0.00003339091,0.000009510266,0.00003780663,0.0004167733,0.00001494551,0.0006121661],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.003443609,"threshold_uncertainty_score":0.006847084,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02507921984907507,"score_gpt":0.2233620722463798,"score_spread":0.1982828523973047,"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."}}