{"id":"W4391996737","doi":"10.1080/01496395.2024.2315619","title":"Staged magnetic concentration of complex rare earth ores containing niobium and zirconium","year":2024,"lang":"en","type":"article","venue":"Separation Science and Technology","topic":"Minerals Flotation and Separation Techniques","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia","funders":"","keywords":"Magnetic separation; Gangue; Zirconium; Niobium; Chemistry; Monazite; Zircon; Paramagnetism; Ilmenite; Reagent; Mineral processing; Metallurgy; Mineralogy; Geology; Inorganic chemistry; Geochemistry; Materials science","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":[0.0002403006,0.0002563083,0.0002495978,0.0002891766,0.0001969355,0.0002705842,0.0003065498,0.0002677612,0.0007057351],"category_scores_gemma":[0.0002633525,0.000172484,0.0001816256,0.0001463547,0.0001937016,0.0001831382,0.0002602383,0.0003219245,0.0002561334],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002380902,"about_ca_system_score_gemma":0.0002658065,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001431911,"about_ca_topic_score_gemma":0.004748023,"domain_scores_codex":[0.9998623,0.00001590612,0.00001202921,0.00003613629,0.00004098451,0.00003262243],"domain_scores_gemma":[0.9999225,0.00001378471,0.00002050971,0.000008060569,0.00002365259,0.00001151781],"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":[0.00007665642,0.00002525333,0.0002342121,0.00005833821,0.000006122821,0.00004202448,0.00003717511,0.00009627007,0.9971992,0.00008754145,0.00003859249,0.002098473],"study_design_scores_gemma":[0.00001756088,0.0002608727,0.002567624,0.000007544174,0.00001306208,0.00005455858,0.0000297137,0.001314577,0.9940896,0.00002804795,0.001609399,0.000007514074],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9940094,0.0003205208,0.003917889,0.00004311703,0.00002056256,0.00006240528,0.00006711961,0.00004384149,0.001515177],"genre_scores_gemma":[0.9857588,0.0004162983,0.01020229,0.00005388607,0.00001281923,0.00005497288,0.0001841376,0.00002643228,0.003290462],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001431911,"threshold_uncertainty_score":0.002847075,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01609890485335608,"score_gpt":0.2985962125415059,"score_spread":0.2824973076881498,"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."}}