{"id":"W4389832397","doi":"10.1016/j.jece.2023.111726","title":"Petroleum hydrocarbons bioremediation by halotolerant enzymes – Progress &amp; advances","year":2023,"lang":"en","type":"article","venue":"Journal of environmental chemical engineering","topic":"Microbial bioremediation and biosurfactants","field":"Environmental Science","cited_by":9,"is_retracted":false,"has_abstract":false,"ca_institutions":"York University","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Bioremediation; Halotolerance; Petroleum; Environmental chemistry; Environmental science; Chemistry; Biochemical engineering; Waste management; Biology; Contamination; Engineering; Ecology; Salinity; Organic chemistry","routes":{"ca_aff":true,"ca_fund":true,"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":[],"consensus_categories":[],"category_scores_codex":[0.0001846437,0.0001680292,0.0001898051,0.00006133723,0.00003137974,0.00002017241,0.000209851,0.00008359008,0.0004304117],"category_scores_gemma":[0.00003353861,0.0001450686,0.0001036708,0.0001805461,0.00009736059,0.000271008,0.00009165514,0.0001986908,0.0003125725],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002055347,"about_ca_system_score_gemma":0.000003937505,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000001334183,"about_ca_topic_score_gemma":4.087915e-7,"domain_scores_codex":[0.9986702,0.00001204865,0.0003934222,0.000169206,0.0004726808,0.0002824328],"domain_scores_gemma":[0.9994906,0.00003676133,0.000187746,0.0001016648,0.000001515578,0.0001817129],"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":[0.00001519835,0.00006676707,0.008928461,0.000006417472,0.00001240961,0.000007407506,0.00005511836,0.0009731254,0.98576,0.00000100079,0.00275766,0.001416382],"study_design_scores_gemma":[0.0009092271,0.00009108615,0.01446562,0.00004175619,0.00003209643,0.00006023234,0.00004082397,0.004031568,0.8944061,0.0000194461,0.08547883,0.0004231891],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9986309,0.0004970827,0.0001611164,0.0002497787,0.0002351904,0.00007541634,0.00002760546,0.00004558571,0.00007735899],"genre_scores_gemma":[0.9984883,0.0003046746,0.0009059116,0.00004371916,0.0001100652,0.000002601465,0.0000344513,0.00002117603,0.00008911265],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.09135392,"threshold_uncertainty_score":0.5915728,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.003992793336995625,"score_gpt":0.1889745190513864,"score_spread":0.1849817257143908,"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."}}