{"id":"W4206667946","doi":"10.1002/9780470054581.eib153","title":"Bioremediation","year":2010,"lang":"en","type":"other","venue":"Encyclopedia of Industrial Biotechnology","topic":"Microbial bioremediation and biosurfactants","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Waterloo","funders":"","keywords":"Bioremediation; Biostimulation; Chemistry; Cometabolism; Environmental chemistry; Environmental remediation; Biotransformation; Anoxic waters; Biodegradation; Contamination; Biochemistry; Organic chemistry; Enzyme; Biology; Ecology","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":["metaepi_narrow","research_integrity","insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.0001688343,0.0002789017,0.0003830596,0.0002798616,0.00002417977,0.000005497408,0.0005237497,0.003712703,0.04614814],"category_scores_gemma":[0.0003064607,0.0002489266,0.00008390096,0.0004712256,0.0005541506,0.00002983188,0.0002471876,0.0008450905,0.002094571],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00005149261,"about_ca_system_score_gemma":0.00004899459,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0007096463,"about_ca_topic_score_gemma":0.001210774,"domain_scores_codex":[0.9985599,0.00003849229,0.0004001991,0.0004309663,0.0002751594,0.0002952827],"domain_scores_gemma":[0.998837,0.00002611232,0.0005678399,0.0004822955,0.000005834497,0.00008090404],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.000009357883,0.00005465785,0.002239071,0.000004081458,0.00001564662,0.000003029771,0.00001165163,1.822812e-7,0.04316152,0.00007588008,0.8927173,0.06170762],"study_design_scores_gemma":[0.0004322926,0.00006646107,0.00006460259,0.00002269084,0.00002147649,0.000002192829,0.000007303356,0.000001160728,0.0305463,0.0000370317,0.9685497,0.0002487738],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.006748319,0.00005957968,0.0000213164,0.001096806,0.003135464,0.0006079516,0.0002140017,0.0003970827,0.9877195],"genre_scores_gemma":[0.01159539,0.005681556,0.005300607,0.0003236539,0.003134185,0.00002921495,0.0005009524,0.0007663358,0.9726681],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.0758324,"threshold_uncertainty_score":0.9999963,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01034083535466737,"score_gpt":0.2126518445978896,"score_spread":0.2023110092432222,"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."}}