{"id":"W4362657986","doi":"10.1007/s11356-023-26676-0","title":"Efficient dewatering of unclassified tailings with flocculant: role of ultrasound","year":2023,"lang":"en","type":"article","venue":"Environmental Science and Pollution Research","topic":"Tailings Management and Properties","field":"Engineering","cited_by":9,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Alberta","funders":"National Natural Science Foundation of China","keywords":"Tailings; Flocculation; Settling; Arithmetic underflow; Slurry; Dewatering; Pulp and paper industry; Materials science; Chemistry; Chemical engineering; Chromatography; Environmental science; Environmental engineering; Metallurgy; Geology; Geotechnical engineering","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003077172,0.0003493533,0.0003720676,0.0002622943,0.0002207652,0.0004611905,0.0002701374,0.0004125719,0.001025611],"category_scores_gemma":[0.0003966586,0.0001386636,0.0002567564,0.000143442,0.0002311295,0.000583976,0.0004960858,0.0005270904,0.0002995372],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002891857,"about_ca_system_score_gemma":0.0003696718,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002134542,"about_ca_topic_score_gemma":0.005216316,"domain_scores_codex":[0.9998087,0.00001952257,0.00001134176,0.00003186478,0.00006384998,0.0000646663],"domain_scores_gemma":[0.9997832,0.00006174952,0.00004870774,0.0000200884,0.00005915107,0.00002715017],"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":[0.0001104001,0.00006394394,0.0002960666,0.00005728974,0.000007552671,0.00002212872,0.00003674195,0.0009583934,0.9860867,0.000105458,0.00008802814,0.01216732],"study_design_scores_gemma":[0.000007166871,0.0002950018,0.001013381,0.000008159775,0.00001223403,0.00001494237,0.000040111,0.007056287,0.9906384,0.00004079751,0.0008670005,0.000006383107],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9853178,0.001105975,0.01198952,0.00009403203,0.00005234989,0.00003704828,0.00003311662,0.00006602296,0.001304126],"genre_scores_gemma":[0.9902412,0.0007547008,0.005127125,0.00006129764,0.00001771825,0.00001422689,0.00006221023,0.00002495281,0.003696671],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.002134542,"threshold_uncertainty_score":0.004244268,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01944285367882685,"score_gpt":0.2393345104785729,"score_spread":0.2198916567997461,"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."}}