{"id":"W4384131301","doi":"10.3390/polym15143019","title":"Exploring Alternatives to Polyacrylamide: A Comparative Study of Novel Polymers in the Flocculation and Dewatering of Iron Ore Tailings","year":2023,"lang":"en","type":"article","venue":"Polymers","topic":"Coagulation and Flocculation Studies","field":"Environmental Science","cited_by":9,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Alberta","funders":"Alberta Innovates; Conselho Nacional de Desenvolvimento Científico e Tecnológico; Coordenação de Aperfeiçoamento de Pessoal de Nível Superior","keywords":"Polyacrylamide; Tailings; Flocculation; Polymer; Dewatering; Iron ore; Copolymer; Hydrolysis; Acrylate; Chemistry; Chemical engineering; Materials science; Pulp and paper industry; Waste management; Polymer chemistry; Organic chemistry; Geology; Metallurgy","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":[0.0002323569,0.0003510855,0.0001602898,0.0002863972,0.0001166544,0.0002451268,0.0001204335,0.0002711957,0.0004507136],"category_scores_gemma":[0.000226925,0.0001088695,0.0002080632,0.0001760898,0.0001512538,0.0003543113,0.0001113191,0.0002563733,0.0001064767],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001121745,"about_ca_system_score_gemma":0.0001336008,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003872898,"about_ca_topic_score_gemma":0.0009222763,"domain_scores_codex":[0.9998938,0.00002782813,0.000008299087,0.0000206821,0.00002604483,0.00002327719],"domain_scores_gemma":[0.9999002,0.00002994826,0.00002823456,0.000004191952,0.00001895834,0.00001840865],"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":[0.00009702761,0.00005767069,0.0001265894,0.0001112372,0.000007382453,0.00004146019,0.0000198547,0.0001297167,0.996314,0.00004807499,0.00000894402,0.003038079],"study_design_scores_gemma":[0.000009189892,0.001377909,0.00192605,0.00001389804,0.00003462099,0.00009911937,0.0000380227,0.0005276859,0.994083,0.00001578728,0.001868556,0.000006103902],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9940429,0.003379603,0.001481207,0.00003228108,0.00001395856,0.00002967696,0.00002629604,0.00001231894,0.0009816854],"genre_scores_gemma":[0.9895273,0.004204412,0.004243052,0.00003144079,0.00001208122,0.00002067528,0.00006059563,0.0000104521,0.001889955],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0004507136,"threshold_uncertainty_score":0.001507759,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1737609182988004,"score_gpt":0.3307583410262349,"score_spread":0.1569974227274345,"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."}}