{"id":"W4311720172","doi":"10.3390/w14233980","title":"Bioremediation Treatment of Polyaromatic Hydrocarbons for Environmental Sustainability","year":2022,"lang":"en","type":"article","venue":"Water","topic":"Microbial bioremediation and biosurfactants","field":"Environmental Science","cited_by":37,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia, Okanagan Campus; University of British Columbia","funders":"Ministry of Science and Technology, Taiwan","keywords":"Bioremediation; Biodegradation; Microorganism; Petroleum; Pollutant; Environmental chemistry; Environmental science; Microbial biodegradation; Hydrocarbon; Environmental pollution; Contamination; Biostimulation; Pollution; Waste management; Polycyclic aromatic hydrocarbon; Energy source; Chemistry; Bacteria; Ecology; Environmental protection; Biology; 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":[0.0001961497,0.000511712,0.0003308595,0.0006467091,0.0003098232,0.0005930778,0.0002089867,0.0004586822,0.0009797361],"category_scores_gemma":[0.0001677058,0.0001032507,0.0004587168,0.0004987944,0.0002331208,0.0005095816,0.0005350944,0.00047108,0.0004546233],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004057139,"about_ca_system_score_gemma":0.000448387,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000781477,"about_ca_topic_score_gemma":0.001459333,"domain_scores_codex":[0.999743,0.00004826853,0.00001263364,0.00003196345,0.0001178632,0.00004625015],"domain_scores_gemma":[0.9999297,0.0000120332,0.00001869489,0.000004644269,0.00002566435,0.000009341577],"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":[0.00004090985,0.00008109666,0.0005443565,0.0005022926,0.00001900838,0.00009765561,0.0000342999,0.0006645028,0.9620959,0.0006205756,0.0002693367,0.03503007],"study_design_scores_gemma":[0.000005374679,0.0001688238,0.001823387,0.00005547927,0.00003244761,0.0001662645,0.00009602538,0.001733416,0.977169,0.0004718008,0.01826835,0.000009628851],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.747695,0.1566949,0.07378022,0.002028014,0.0004851966,0.0002100613,0.0005057716,0.000380944,0.01821991],"genre_scores_gemma":[0.946175,0.03576177,0.01212513,0.0002058449,0.00007194077,0.00004410381,0.0002299776,0.00003383679,0.005352375],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0009797361,"threshold_uncertainty_score":0.003277481,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.006592930725773719,"score_gpt":0.2029757801034727,"score_spread":0.196382849377699,"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."}}