{"id":"W3217224927","doi":"10.3390/w13223311","title":"Establishing and Optimizing a Bacterial Consortia for Effective Biodegradation of Petroleum Contaminants: Advancing Classical Microbiology via Experimental and Mathematical Approach","year":2021,"lang":"en","type":"article","venue":"Water","topic":"Microbial bioremediation and biosurfactants","field":"Environmental Science","cited_by":12,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Alberta","funders":"","keywords":"Biodegradation; Bioremediation; Bacillus cereus; Microbacterium; Rhodococcus; Microbial consortium; Pseudomonas; Petroleum; Chemistry; Microbiology; Environmental chemistry; Biology; Contamination; Bacteria; Food science; Microorganism; Ecology; 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":[0.0001692565,0.00009501832,0.0001797896,0.00001558818,0.00005700475,0.00003398916,0.00003610309,0.00007308181,0.0002517357],"category_scores_gemma":[0.00003348812,0.0000669434,0.00002569561,0.00002323392,0.0001678635,0.0001580806,0.0001173413,0.00004479191,0.000005526379],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003262946,"about_ca_system_score_gemma":0.000003817688,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000007957201,"about_ca_topic_score_gemma":0.00000592179,"domain_scores_codex":[0.9992907,0.00005953119,0.0001798772,0.0002456401,0.00004407471,0.0001801621],"domain_scores_gemma":[0.9997683,0.00006395022,0.0000467815,0.00006233063,0.000009233982,0.0000494047],"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":[0.00006320472,0.00006973529,0.001031524,0.00002395167,0.000008730695,0.000001159626,0.0006718267,0.00000139807,0.9973346,0.00001227448,0.00008487857,0.0006966869],"study_design_scores_gemma":[0.0008630099,0.00008207728,0.0006773678,0.00001251194,0.00001472336,0.00004853412,0.0003572889,0.001661256,0.9954518,0.00002437317,0.0007065063,0.0001005691],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9907214,0.00002350103,0.008696645,0.00008883753,0.0000763817,0.0002304934,0.00002713688,0.000007978982,0.0001276268],"genre_scores_gemma":[0.9837018,0.000002943415,0.01607093,0.00005024487,0.00002013814,0.00001134034,0.00008339472,0.00000676384,0.0000524717],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.007374289,"threshold_uncertainty_score":0.275633,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.006191615490053201,"score_gpt":0.2111496760311482,"score_spread":0.204958060541095,"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."}}