{"id":"W847497054","doi":"10.1016/j.jenvman.2015.06.025","title":"Coagulation/flocculation process with polyaluminum chloride for the remediation of oil sands process-affected water: Performance and mechanism study","year":2015,"lang":"en","type":"article","venue":"Journal of Environmental Management","topic":"Petroleum Processing and Analysis","field":"Chemistry","cited_by":85,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Alberta","funders":"Helmholtz-Alberta Initiative; Alberta Innovates; Natural Sciences and Engineering Research Council of Canada; Syncrude; Canadian Natural Resources Limited; Shell Canada; Alberta Water Research Institute","keywords":"Flocculation; Chemistry; Coagulation; Turbidity; Chloride; Water treatment; Raw water; Titration; Chromatography; Environmental chemistry; Environmental engineering; Inorganic chemistry; 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":[0.0002067033,0.0003552032,0.0004084617,0.000248985,0.0003119742,0.0002604788,0.0003364102,0.0003748539,0.0005500991],"category_scores_gemma":[0.000230965,0.0001334439,0.0003741067,0.0001658311,0.0001700281,0.0002350704,0.0002508154,0.0003044693,0.0001937707],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003134643,"about_ca_system_score_gemma":0.0004377853,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003465228,"about_ca_topic_score_gemma":0.004927708,"domain_scores_codex":[0.9998503,0.00002262226,0.00001242386,0.00002878217,0.00005186521,0.00003400326],"domain_scores_gemma":[0.9998856,0.00001733619,0.00002370544,0.000007216393,0.00004718748,0.00001896836],"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":[0.0001720782,0.00005540174,0.0001868648,0.00007906349,0.00001384697,0.00004528015,0.00003403019,0.0001931433,0.9961573,0.00002587878,0.00004133438,0.002995699],"study_design_scores_gemma":[0.00001106277,0.0002591728,0.0006657603,0.000002628285,0.00001879347,0.00003409237,0.00001601562,0.0009802791,0.9976997,0.000004857001,0.0003027775,0.000004916621],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9974496,0.0004871666,0.001542362,0.00003671518,0.00001694412,0.00002729659,0.00003065788,0.00003296725,0.000376231],"genre_scores_gemma":[0.9967256,0.0004507289,0.001423679,0.00002180405,0.000006090864,0.00001144675,0.00004468272,0.000007873929,0.001308106],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.003465228,"threshold_uncertainty_score":0.006890118,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.00907268075040413,"score_gpt":0.2220186691222533,"score_spread":0.2129459883718492,"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."}}