{"id":"W2789970943","doi":"10.1016/j.mineng.2018.01.004","title":"The effect of non-polar oil on fine hematite flocculation and flotation using sodium oleate or hydroxamic acids as a collector","year":2018,"lang":"en","type":"article","venue":"Minerals Engineering","topic":"Minerals Flotation and Separation Techniques","field":"Environmental Science","cited_by":63,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Alberta","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Hematite; Kerosene; DLVO theory; Chemistry; Flocculation; Oil droplet; Hydroxamic acid; Zeta potential; Chemical engineering; Particle size; Chromatography; Mineralogy; Organic chemistry; Emulsion; Colloid; Nanoparticle","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":[0.0002786123,0.0001444526,0.0001515942,0.00006374426,0.0001399429,0.00004017613,0.00007794322,0.0000488536,0.0001308973],"category_scores_gemma":[0.0001631574,0.0000976891,0.00002832295,0.0002998349,0.00005878953,0.0001400957,0.00003331346,0.00005808932,0.00003339329],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00005639797,"about_ca_system_score_gemma":0.00000602732,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001367218,"about_ca_topic_score_gemma":0.00007618866,"domain_scores_codex":[0.9992107,0.00003945104,0.0002385164,0.0001676315,0.0001915739,0.0001521586],"domain_scores_gemma":[0.9995763,0.0001304724,0.00007923883,0.000150439,0.00001798548,0.00004557516],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0000679105,0.00000598685,0.0005411293,0.0000294654,0.000008503983,7.481848e-7,0.0002323074,0.01630502,0.9811265,0.00002625003,0.0004461275,0.001210084],"study_design_scores_gemma":[0.0003005445,0.0003623351,0.001704149,0.00004750927,0.00001034909,0.000005565342,0.000002903624,0.5177523,0.4784052,0.000005471666,0.001298607,0.00010505],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9953784,0.00002051987,0.003390669,0.00005278699,0.00008360518,0.0001725106,0.00000281034,0.00005848807,0.000840246],"genre_scores_gemma":[0.9953731,0.00001327832,0.002206831,0.00003387808,0.00006535115,0.00002933416,0.000007448669,0.00001813548,0.002252659],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.5027213,"threshold_uncertainty_score":0.3983646,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.006914791198678011,"score_gpt":0.2488671180182102,"score_spread":0.2419523268195321,"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."}}