{"id":"W2070423250","doi":"10.1016/j.mineng.2013.09.011","title":"Processing a rare earth mineral deposit using gravity and magnetic separation","year":2013,"lang":"en","type":"article","venue":"Minerals Engineering","topic":"Minerals Flotation and Separation Techniques","field":"Environmental Science","cited_by":115,"is_retracted":false,"has_abstract":false,"ca_institutions":"McGill University","funders":"Avalon Rare Metals; Natural Sciences and Engineering Research Council of Canada; McGill University","keywords":"Gangue; Beneficiation; Gravity separation; Magnetic separation; Mineral; Mineral processing; Mineralogy; Geology; Rare earth; Earth (classical element); Materials science; Metallurgy; Physics","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":[0.0001139168,0.000196661,0.000307252,0.0004392212,0.0006551601,0.0003913236,0.0002729159,0.0004458946,0.0006721072],"category_scores_gemma":[0.0001948157,0.0001122978,0.0002352722,0.0002010674,0.000250291,0.0003418134,0.0002951273,0.0004204251,0.0002379502],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002684997,"about_ca_system_score_gemma":0.0005450857,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001972413,"about_ca_topic_score_gemma":0.004802967,"domain_scores_codex":[0.9999382,0.000003327524,0.000004155496,0.00001432033,0.00002813975,0.00001174538],"domain_scores_gemma":[0.9999498,0.00001074804,0.000006271998,0.000005484842,0.00001798431,0.000009645799],"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":[0.00007683573,0.00002780209,0.0005182375,0.00004208873,0.000005328078,0.000131777,0.00003533124,0.0004490702,0.9926239,0.0002421559,0.00009686739,0.005750681],"study_design_scores_gemma":[0.00003144195,0.0001574426,0.003285293,0.000004990358,0.00001400623,0.0003438657,0.00008493019,0.003893104,0.9890221,0.0002878922,0.002866174,0.000008656668],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9893968,0.0002850393,0.007510681,0.0002095751,0.00004284547,0.00003781882,0.00005678582,0.00006519834,0.002395258],"genre_scores_gemma":[0.976369,0.0002251858,0.01952492,0.00005704736,0.00002213839,0.00001439839,0.00008232473,0.00001847035,0.003686612],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001972413,"threshold_uncertainty_score":0.003921926,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.009440461320496167,"score_gpt":0.2310706604419943,"score_spread":0.2216301991214982,"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."}}