{"id":"W3133017672","doi":"10.1016/j.mineng.2021.106817","title":"Separation of ultra-fine hematite and quartz particles using asynchronous flocculation flotation","year":2021,"lang":"en","type":"article","venue":"Minerals Engineering","topic":"Minerals Flotation and Separation Techniques","field":"Environmental Science","cited_by":49,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Alberta","funders":"Natural Science Foundation of Anhui Province; Natural Sciences and Engineering Research Council of Canada; National Natural Science Foundation of China","keywords":"Hematite; Flocculation; Quartz; Cationic polymerization; Depressant; Sedimentation; Chemical engineering; Chemistry; Materials science; Mineralogy; Iron oxide; Talc; Metallurgy; Geology; Polymer 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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001230973,0.00009709041,0.0001305787,0.00004049754,0.00003923708,0.00002651053,0.00003014023,0.00004173986,0.0002252626],"category_scores_gemma":[0.00007901868,0.0001035171,0.00002463299,0.0002533486,0.00002093763,0.0002842104,0.00001557688,0.00003806259,0.000009092358],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0000363315,"about_ca_system_score_gemma":0.000007612099,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00005785598,"about_ca_topic_score_gemma":0.00005748232,"domain_scores_codex":[0.9992709,0.00002652048,0.0002790694,0.0001618756,0.0001517874,0.0001098181],"domain_scores_gemma":[0.9997044,0.0000336521,0.00007367753,0.0001100208,0.0000331931,0.00004504857],"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":[0.000001971853,0.00001573318,0.001463058,0.00002190832,0.000004447672,0.000001079061,0.0003615903,0.1326375,0.8643372,0.0004778407,0.0001273776,0.0005502912],"study_design_scores_gemma":[0.0001296577,0.0000167465,0.005101644,0.00001945356,0.000009067888,0.00001089215,0.00001793147,0.3908331,0.6033569,0.00005689309,0.0003501452,0.00009761827],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9314137,0.00008749074,0.06780388,0.00006630902,0.00003726293,0.00009869893,0.00000264447,0.00006094591,0.0004291272],"genre_scores_gemma":[0.9710918,0.00001404973,0.02864398,0.00002770423,0.00002638132,0.00001007244,0.0000287046,0.00001075616,0.0001465374],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2609803,"threshold_uncertainty_score":0.4221306,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01456897422261058,"score_gpt":0.2597493922739781,"score_spread":0.2451804180513676,"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."}}