{"id":"W2897342194","doi":"10.1007/bf03403119","title":"Rheology modifiers for mineral suspensions","year":2005,"lang":"en","type":"article","venue":"Mining Metallurgy & Exploration","topic":"Minerals Flotation and Separation Techniques","field":"Environmental Science","cited_by":18,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of British Columbia","funders":"","keywords":"Rheology; Chemical engineering; Flocculation; Polymer; Dispersant; Viscosity; Dispersion (optics); Settling; Dewatering; Materials science; Mineral; Surface charge; Particle (ecology); Particle size; Chemistry; Organic chemistry; Composite material; Thermodynamics","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":[0.0003415709,0.0004717017,0.0003246899,0.0003638533,0.0003694401,0.000287117,0.0004358441,0.000414093,0.005128296],"category_scores_gemma":[0.001070359,0.0002681912,0.0002987222,0.0001457489,0.0002476703,0.0004776357,0.0003487221,0.001168899,0.000932465],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000165082,"about_ca_system_score_gemma":0.0001635448,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002876376,"about_ca_topic_score_gemma":0.0006294219,"domain_scores_codex":[0.9997579,0.00003306288,0.00002713584,0.00006316467,0.0000692899,0.00004942443],"domain_scores_gemma":[0.9995196,0.0001717742,0.0001267731,0.0000552773,0.00007513534,0.00005146498],"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":[0.0001583531,0.00009688037,0.00009525148,0.00009020483,0.0000103981,0.00005735737,0.00004372971,0.00009737724,0.9891846,0.0001497688,0.0003060812,0.009710071],"study_design_scores_gemma":[0.00002498365,0.0001603672,0.000406611,0.00001120895,0.00001306628,0.00004053573,0.00001295293,0.0003775671,0.9956534,0.00003647421,0.003254948,0.000007846235],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9411203,0.005734971,0.04171251,0.0009523912,0.0007127491,0.0006304003,0.0004450671,0.001328716,0.007362799],"genre_scores_gemma":[0.9570124,0.002861741,0.02345852,0.000701735,0.0002022179,0.0003505341,0.0007392799,0.0002588782,0.01441457],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.005128296,"threshold_uncertainty_score":0.01715583,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04877344516250049,"score_gpt":0.2945980216439331,"score_spread":0.2458245764814326,"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."}}