{"id":"W4285209935","doi":"10.2139/ssrn.4145327","title":"Prof. Gamini Senanayake, Editor-in-Chief Hydrometallurgythorium Speciation in Synthetic Anhydrite: Implications for Remediation and Recovery of Thorium from Rare-Earth Mine Tailings","year":2022,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Extraction and Separation Processes","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"Canadian Light Source (Canada); University of Saskatchewan","funders":"","keywords":"Anhydrite; Tailings; Monazite; Environmental remediation; Rare-earth element; Thorium; Chemistry; Roasting; Geology; Pyrolusite; Nuclear chemistry; Mineralogy; Radiochemistry; Environmental chemistry; Uranium; Materials science; Geochemistry; Metallurgy; Rare earth; Gypsum","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":[0.002719706,0.0009381759,0.0008585778,0.001527907,0.000581814,0.003224666,0.001095577,0.001975194,0.01334957],"category_scores_gemma":[0.008779433,0.0003799869,0.0004993765,0.0008183147,0.0004850973,0.002978232,0.0005552801,0.003448501,0.01224],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005096819,"about_ca_system_score_gemma":0.001505969,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0005238311,"about_ca_topic_score_gemma":0.001297336,"domain_scores_codex":[0.9988024,0.0001434631,0.0001891145,0.0002057893,0.0005931327,0.00006599867],"domain_scores_gemma":[0.9923855,0.002062127,0.0004186714,0.0001200247,0.004208449,0.0008051521],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.0001511087,0.00003131053,0.0004439421,0.0009765975,0.00002165907,0.000386717,0.00008405175,0.0001923412,0.001627764,0.0009184208,0.9032432,0.09192286],"study_design_scores_gemma":[0.00001534668,0.00004330883,0.000485161,0.0002338129,0.00002227008,0.001120448,0.0001077168,0.0003030728,0.001293935,0.0005917211,0.9957675,0.00001584539],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"editorial","genre_gemma":"empirical","genre_scores_codex":[0.00124705,0.06686954,0.002012076,0.08162057,0.8410627,0.00004002867,0.0001723242,0.0001733501,0.006802305],"genre_scores_gemma":[0.0132909,0.1361967,0.00171264,0.0319494,0.7032722,0.00005104053,0.000211979,0.0002601146,0.113055],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.01334957,"threshold_uncertainty_score":0.04465872,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.006964073979922705,"score_gpt":0.2259228065101491,"score_spread":0.2189587325302264,"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."}}