{"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":"codex-gemma-dda1882f352a","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0001098925,0.00007658201,0.00009205983,0.00002115114,0.0001088253,0.000004242878,0.00007602032,0.00001911099,0.003390013],"category_scores_gemma":[0.00000468375,0.0000535069,0.00006365303,0.00003889279,0.00006839974,0.00004404888,0.00006875258,0.00001709679,0.00004949354],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005774209,"about_ca_system_score_gemma":0.000006006841,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0000685076,"about_ca_topic_score_gemma":0.00001367778,"domain_scores_codex":[0.9993101,0.00003847743,0.0001656407,0.0001612517,0.0001566619,0.0001678916],"domain_scores_gemma":[0.9997697,0.00001417387,0.00004476887,0.0001328262,0.000001018243,0.00003750258],"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":[0.00005603125,0.0004865967,0.05851406,0.000005949056,0.00001087324,8.932163e-7,0.001571769,0.0001017155,0.9337224,0.00000649887,0.0004701269,0.005053076],"study_design_scores_gemma":[0.001519366,0.001142617,0.05414424,6.584961e-7,0.00003937558,0.000003791042,0.0007054931,0.001070856,0.8890306,0.001076913,0.05102173,0.0002443821],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9984782,0.000006734183,0.00003538538,0.0005228397,0.00009274684,0.0005011412,0.00008286447,0.0000122659,0.000267795],"genre_scores_gemma":[0.9985352,0.000003029377,0.000117657,0.0000579457,0.00001404545,0.0000587709,0.0001334923,0.000006506229,0.001073329],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.05055161,"threshold_uncertainty_score":0.997521,"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."}}