{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001924203,0.000113576,0.0001415475,0.0001486671,0.0001432817,0.000006969959,0.0002257839,0.0001324276,0.0001362202],"category_scores_gemma":[0.00002231496,0.00008895729,0.00001563166,0.0005682308,0.001331552,0.00006776174,0.0001860441,0.0001608135,0.00001283068],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001519334,"about_ca_system_score_gemma":0.00002345826,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001569451,"about_ca_topic_score_gemma":0.001527474,"domain_scores_codex":[0.9992213,0.00007533892,0.000249191,0.00014897,0.0001084042,0.0001968522],"domain_scores_gemma":[0.9995732,0.00003885562,0.0001335676,0.0002162775,0.00001134392,0.00002679862],"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":[0.00001448739,0.0000250354,0.2727858,0.000003356011,0.00000231511,0.000002189566,0.0009975857,0.00001344107,0.7258534,0.000006275033,0.0001213725,0.0001747723],"study_design_scores_gemma":[0.0006187938,0.0001490003,0.0438758,0.00003210328,0.000009264296,0.00006052395,0.005685941,0.000331515,0.9467559,0.0000221593,0.002258269,0.0002007438],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9992079,0.00006459889,0.00001190724,0.0003193849,0.00004264265,0.0001772096,0.00003348478,0.00004624753,0.00009658176],"genre_scores_gemma":[0.9987108,0.0000874549,0.001013405,0.0001489645,0.000008253938,0.000002249452,0.000006964329,0.00000879887,0.0000130849],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.22891,"threshold_uncertainty_score":0.4906158,"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."}}