{"id":"W4211081047","doi":"10.3390/pollutants2010005","title":"Thermally Enhanced Bioremediation of NAPL Polluted Soil-Water Resources","year":2022,"lang":"en","type":"article","venue":"Pollutants","topic":"CO2 Sequestration and Geologic Interactions","field":"Environmental Science","cited_by":5,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Waterloo","funders":"Department of Science and Technology, Ministry of Science and Technology, India","keywords":"Bioremediation; Environmental remediation; Biodegradation; Environmental chemistry; Environmental science; Hydrocarbon; Groundwater; Dissolution; Contamination; Soil water; Soil contamination; Environmental engineering; Soil science; Chemistry; Geology; Geotechnical engineering; 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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001542719,0.0002738543,0.000293091,0.0001829893,0.0001621914,0.000307864,0.0002061963,0.0002004006,0.0005070193],"category_scores_gemma":[0.0001292233,0.0001387201,0.0003237549,0.0001762912,0.0001698437,0.0002195318,0.0002838501,0.0002644947,0.0001347973],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002936563,"about_ca_system_score_gemma":0.0002564442,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001684699,"about_ca_topic_score_gemma":0.004753181,"domain_scores_codex":[0.9998564,0.00001731871,0.0000104783,0.00003242091,0.00005008564,0.00003339454],"domain_scores_gemma":[0.9999253,0.00001421502,0.00002313947,0.000005119179,0.00002127934,0.00001096752],"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":[0.00002202161,0.000008312189,0.0001183185,0.00003307255,0.000001761138,0.00001603199,0.000007442249,0.0001147784,0.9990809,0.000009994766,0.000005658704,0.0005816676],"study_design_scores_gemma":[0.000002851473,0.0001678899,0.001889756,0.000003204537,0.000006166676,0.00003172104,0.00001530258,0.0006716315,0.99687,0.00000662722,0.0003312,0.00000369511],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9966313,0.0003229482,0.002417567,0.00002098553,0.000008747728,0.0000164902,0.0001478541,0.00004380239,0.0003903089],"genre_scores_gemma":[0.994362,0.0004227277,0.004295795,0.00001451802,0.000003715664,0.00003064645,0.0001298538,0.000008914493,0.0007318562],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001684699,"threshold_uncertainty_score":0.003349841,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.009602409499606725,"score_gpt":0.2243498217698139,"score_spread":0.2147474122702072,"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."}}