{"id":"W4210801705","doi":"10.1007/978-3-030-92662-5_1","title":"Rare-Earth and Critical Material Recovery from Peralkaline Volcanic Ores: Minerals Processing, Hydrometallurgy, and Solvent Extraction Separation","year":2022,"lang":"en","type":"book-chapter","venue":"The minerals, metals & materials series","topic":"Extraction and Separation Processes","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of British Columbia","funders":"","keywords":"Peralkaline rock; Allanite; Geology; Geochemistry; Monazite; Mineral processing; Zircon; Hydrometallurgy; Mineralogy; Solvent extraction; Mineral; Extraction (chemistry); Volcano; Metallurgy; Chemistry; Materials science; Chromatography","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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","scholarly_communication","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0005612165,0.0008624739,0.001152847,0.0002612421,0.000501872,0.00120004,0.0002220075,0.0004349184,0.01316126],"category_scores_gemma":[0.00006215667,0.0007478729,0.0001361844,0.00008055323,0.0002842919,0.001833089,0.0001474318,0.0003849969,0.0000636635],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00007597105,"about_ca_system_score_gemma":0.00009138071,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001698909,"about_ca_topic_score_gemma":0.0005386269,"domain_scores_codex":[0.9968366,0.0001726293,0.001251408,0.0007594861,0.0005439934,0.000435881],"domain_scores_gemma":[0.9986551,0.0001760902,0.000403114,0.0004349948,0.000163111,0.0001676073],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0003865756,0.00004119854,7.654326e-7,0.0007183595,0.0002974057,0.00003643853,0.0003494349,0.0005009701,0.9865531,0.004974914,0.005670697,0.000470177],"study_design_scores_gemma":[0.000692871,0.0003926779,0.00006088764,0.000280361,0.0008712627,0.0005448216,0.0001817318,0.0009482004,0.0669314,0.01486571,0.9125453,0.001684799],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8636535,0.02911238,0.00118967,0.002268846,0.01505416,0.003287654,0.006698669,0.002262024,0.07647308],"genre_scores_gemma":[0.6101646,0.01266121,0.001165229,0.0004654026,0.002527934,0.0004928648,0.003961871,0.0004229984,0.3681379],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.9196216,"threshold_uncertainty_score":0.9998368,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01855339934121572,"score_gpt":0.2607193708882053,"score_spread":0.2421659715469896,"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."}}