{"id":"W3137635448","doi":"10.23880/ppej-16000119","title":"Synthetic Microbial Community for the Bioremediation of Petroleum Contamination","year":2017,"lang":"en","type":"article","venue":"Petroleum & Petrochemical Engineering Journal","topic":"Microbial bioremediation and biosurfactants","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"Petro-Canada","funders":"","keywords":"Bioremediation; Contamination; Petroleum; Environmental chemistry; Environmental science; Microbial population biology; Biochemical engineering; Waste management; Chemistry; Biology; Ecology; Engineering; Bacteria; 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":[0.0009385544,0.000175389,0.0002156822,0.0000495434,0.000654021,0.0001336926,0.0008196252,0.0001429056,0.000236415],"category_scores_gemma":[0.001022085,0.0001317384,0.0001779381,0.00004598697,0.0002097371,0.000214971,0.0001594314,0.0006861642,0.0000255122],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002050541,"about_ca_system_score_gemma":0.00001966547,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00004263642,"about_ca_topic_score_gemma":0.00002730676,"domain_scores_codex":[0.9987884,0.00004179426,0.0003984512,0.0001462854,0.0003160105,0.0003090895],"domain_scores_gemma":[0.9986941,0.0002694319,0.0004401978,0.0004262884,0.0000482176,0.0001217801],"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":[0.00005361245,0.00007446346,0.005244021,0.00002022743,0.00002917697,7.075602e-7,0.0001074688,0.002134388,0.9899672,0.0000263663,0.001089909,0.001252435],"study_design_scores_gemma":[0.003793805,0.0003740082,0.1985299,0.000155799,0.0002189204,0.0001685069,0.0002107094,0.09945977,0.6688732,0.00009780743,0.02740308,0.000714499],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9778683,0.00003646823,0.01990335,0.001093243,0.0006671835,0.0001242673,0.00003232691,0.00002540673,0.0002494676],"genre_scores_gemma":[0.9981154,0.00004589905,0.00139313,0.00005580614,0.0002329605,0.000006560885,0.00001170483,0.00001912281,0.0001193932],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.321094,"threshold_uncertainty_score":0.5372134,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01128999488095316,"score_gpt":0.223347477859446,"score_spread":0.2120574829784928,"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."}}