{"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":"codex-gemma-dda1882f352a","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0001541231,0.00006920693,0.00007886549,0.00004265655,0.0001926071,0.000008082545,0.0001542972,0.00002214105,0.03608076],"category_scores_gemma":[0.00002063347,0.00005501364,0.00003955714,0.0001553993,0.0000721361,0.00009522421,0.0001555855,0.00009442759,0.0002411899],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00008112936,"about_ca_system_score_gemma":0.000006716464,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000216213,"about_ca_topic_score_gemma":0.0002537504,"domain_scores_codex":[0.9991543,0.00008171424,0.0001850398,0.0001514759,0.0002623237,0.0001651432],"domain_scores_gemma":[0.9997213,0.00001825498,0.00007820043,0.0001413344,0.000005478226,0.00003538137],"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":[0.00005805847,0.00008761355,0.001382397,0.000001325633,0.00001043845,0.000003192462,0.003664262,0.00378849,0.9818281,0.00004381923,0.0003194905,0.008812791],"study_design_scores_gemma":[0.0008626897,0.0004418496,0.2551163,0.000006364637,0.00002723139,0.00003014004,0.001720266,0.002983852,0.6974241,0.001797245,0.03919,0.0003999811],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9746221,0.000006570916,0.0001226657,0.0009485915,0.0002207587,0.0001023211,0.00005437055,0.00003611705,0.02388651],"genre_scores_gemma":[0.9964427,0.000002413508,0.00008217889,0.0003740023,0.00002392029,0.00001704007,0.000007104831,0.000005613927,0.003045028],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2844041,"threshold_uncertainty_score":0.9648004,"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."}}