{"id":"W627950202","doi":"10.1016/j.cej.2015.05.062","title":"Water treatment technologies for the remediation of naphthenic acids in oil sands process-affected water","year":2015,"lang":"en","type":"article","venue":"Chemical Engineering Journal","topic":"Petroleum Processing and Analysis","field":"Chemistry","cited_by":96,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Waterloo","funders":"","keywords":"Oil sands; Environmental remediation; Biodegradation; Waste management; Filtration (mathematics); Environmental science; Flocculation; Asphalt; Extraction (chemistry); Water treatment; Chemistry; Pulp and paper industry; Contamination; Environmental engineering; Engineering; Materials science; Organic chemistry; 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":[],"consensus_categories":[],"category_scores_codex":[0.0001828309,0.0001250934,0.0001944395,0.00007703064,0.00002905274,0.00002830901,0.0001797963,0.0001180798,0.00001353572],"category_scores_gemma":[0.000187267,0.00005857165,0.00009506816,0.00008110241,0.00002979255,0.0000791007,0.00001964737,0.0002005286,0.000001182814],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001361241,"about_ca_system_score_gemma":0.0000279684,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000001513643,"about_ca_topic_score_gemma":1.370906e-7,"domain_scores_codex":[0.9992474,0.000002652686,0.0002428172,0.000108451,0.0001510185,0.000247701],"domain_scores_gemma":[0.9996675,0.00003771892,0.00004378055,0.0001176293,0.00008795461,0.00004544382],"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":[0.00003349699,0.0000461921,0.0001435916,0.00009305732,0.00006730246,0.000002415865,0.0004159176,0.00427919,0.9853603,0.000001046455,0.00001058554,0.009546882],"study_design_scores_gemma":[0.0009245289,0.00002071017,0.000002443653,0.00007715791,0.0000554258,0.00002848258,0.0001714747,0.01908458,0.9786494,0.00007764978,0.0008175449,0.00009058298],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9972761,0.0005295121,0.001375887,0.0005952205,0.00004179259,0.000006191138,0.000002327959,0.00008597566,0.00008698733],"genre_scores_gemma":[0.9990465,0.0000482873,0.0004987081,0.000002949677,0.0001185677,0.00002196429,0.00001487891,0.00001510347,0.0002330481],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01480539,"threshold_uncertainty_score":0.2388483,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01134735435010224,"score_gpt":0.2293865437985254,"score_spread":0.2180391894484232,"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."}}