{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001572554,0.000888352,0.0003448816,0.000677608,0.0002150603,0.001659524,0.0005617432,0.0007189942,0.00266723],"category_scores_gemma":[0.0006108281,0.0003022539,0.0003540134,0.0008768193,0.0008128753,0.00268566,0.0006606587,0.001386424,0.001352198],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006538854,"about_ca_system_score_gemma":0.001004772,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0006539421,"about_ca_topic_score_gemma":0.001004324,"domain_scores_codex":[0.9996355,0.00004840046,0.00003659728,0.00006931988,0.0001379894,0.00007221744],"domain_scores_gemma":[0.9996244,0.00007776704,0.00005163833,0.00003779223,0.0001279781,0.00008044273],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.000502204,0.0006377456,0.001123593,0.002602945,0.00007318451,0.0002740633,0.0003854422,0.001653774,0.2201754,0.01953122,0.01248794,0.7405525],"study_design_scores_gemma":[0.00006084964,0.0009252806,0.00355588,0.0003480666,0.00006925027,0.0008923818,0.0003401402,0.00246986,0.322815,0.004176088,0.6643026,0.00004457368],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.1106135,0.7941291,0.01923867,0.009690298,0.002065736,0.00006079954,0.0002935481,0.0002029781,0.06370556],"genre_scores_gemma":[0.2840314,0.6725637,0.01020125,0.001036391,0.002060103,0.00002885207,0.0004724039,0.00005536643,0.02955052],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.00266723,"threshold_uncertainty_score":0.008922756,"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."}}