{"id":"W4393336618","doi":"10.1016/j.jwpe.2024.105214","title":"Characterization and acid treatment of silica and organics in evaporator blowdown wastewater arising from SAGD operations","year":2024,"lang":"en","type":"article","venue":"Journal of Water Process Engineering","topic":"Membrane Separation Technologies","field":"Environmental Science","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"Suncor Energy (Canada); University of Calgary","funders":"Mitacs","keywords":"Boiler blowdown; Evaporator; Wastewater; Waste management; Characterization (materials science); Environmental science; Sewage treatment; Chemistry; Pulp and paper industry; Materials science; Engineering; Nanotechnology; Heat exchanger; Inlet","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":[0.0002942117,0.0003174855,0.0005234094,0.0006029509,0.0003199348,0.0006443897,0.0002137069,0.000573175,0.0005157394],"category_scores_gemma":[0.0002845272,0.0001495752,0.000398966,0.000469464,0.0002815585,0.0002843349,0.0002879839,0.0003345876,0.0002145612],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002804847,"about_ca_system_score_gemma":0.0003143463,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002791277,"about_ca_topic_score_gemma":0.004558913,"domain_scores_codex":[0.9996823,0.00003528413,0.00003515052,0.00005244455,0.0001488626,0.000045953],"domain_scores_gemma":[0.9998672,0.00003419066,0.00003022046,0.000005301123,0.00005039946,0.00001260569],"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":[0.00008859084,0.00003383554,0.00290719,0.0001312273,0.000007784682,0.0001885259,0.0001014696,0.0003521856,0.9935473,0.00002083311,0.00002908043,0.002591941],"study_design_scores_gemma":[0.00001127261,0.0006566105,0.04893672,0.0000414941,0.00003789722,0.0002947046,0.0008870509,0.002651373,0.9445181,0.00009404014,0.001841953,0.00002875139],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9982857,0.0001809788,0.0006669046,0.0000178794,0.000005513632,0.00002982808,0.0002588489,0.000006802027,0.0005475344],"genre_scores_gemma":[0.9933853,0.0008044206,0.003486323,0.00006801188,0.000007677248,0.00005778493,0.0005363837,0.00001685515,0.001637163],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.002791277,"threshold_uncertainty_score":0.005550086,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.006557692255863617,"score_gpt":0.2110253066380841,"score_spread":0.2044676143822205,"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."}}