{"id":"W1972623761","doi":"10.1139/s07-038","title":"Process water treatment in Canada’s oil sands industry: I. Target pollutants and treatment objectives","year":2008,"lang":"en","type":"article","venue":"Journal of Environmental Engineering and Science","topic":"Petroleum Processing and Analysis","field":"Chemistry","cited_by":579,"is_retracted":false,"has_abstract":true,"ca_institutions":"Devon Energy (Canada)","funders":"Suncor Energy Incorporated; U.S. Department of Energy","keywords":"Oil sands; Tailings; Environmental science; Pollutant; Water quality; Land reclamation; Water treatment; Produced water; Asphalt; Sewage treatment; Waste management; Environmental engineering; Environmental chemistry; Chemistry; Ecology","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":true,"about_ca":true,"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":[0.0009188316,0.0006088455,0.0002947266,0.001922652,0.001546846,0.002357011,0.0006056637,0.0008133399,0.0008698629],"category_scores_gemma":[0.000481607,0.0001950704,0.0002829255,0.00343149,0.0008698899,0.0008995386,0.0006608895,0.000549192,0.0001768665],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.03181009,"about_ca_system_score_gemma":0.04159807,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.7935311,"about_ca_topic_score_gemma":0.9026135,"domain_scores_codex":[0.9988366,0.00005575216,0.00005506753,0.00008905023,0.0006884222,0.0002751586],"domain_scores_gemma":[0.9993724,0.00004216135,0.00008764877,0.000006806303,0.0004215776,0.00006929701],"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":[0.0003894457,0.0007146815,0.04729374,0.01217387,0.00007364824,0.001291036,0.002684476,0.00959042,0.0769421,0.01822306,0.0187433,0.8118803],"study_design_scores_gemma":[0.00006513333,0.00147916,0.2015634,0.002087123,0.0002324682,0.0008729629,0.009132016,0.003334525,0.1702711,0.004379193,0.60641,0.0001729481],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"methods","genre_scores_codex":[0.5063229,0.3564099,0.01219956,0.01334488,0.0002893315,0.001004813,0.00271748,0.0002499497,0.1074613],"genre_scores_gemma":[0.6467707,0.2996544,0.01715407,0.001944978,0.00007339683,0.0002307001,0.00153455,0.00004088813,0.03259643],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.2064689,"threshold_uncertainty_score":0.4153696,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.005417990269106783,"score_gpt":0.1857149333012928,"score_spread":0.180296943032186,"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."}}