{"id":"W3138574711","doi":"10.3390/min11030302","title":"Bioleaching of Uranium Tailings as Secondary Sources for Rare Earth Elements Production","year":2021,"lang":"en","type":"article","venue":"Minerals","topic":"Radioactive element chemistry and processing","field":"Chemistry","cited_by":56,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université du Québec en Abitibi-Témiscamingue; Institut National de la Recherche Scientifique; Natural Resources Canada","funders":"Fonds de recherche du Québec – Nature et technologies; Canada Excellence Research Chairs, Government of Canada","keywords":"Bioleaching; Tailings; Uranium; Chemistry; Pyrite; Extraction (chemistry); Uraninite; Sulfur; Environmental chemistry; Gypsum; Uranium ore; Nuclear chemistry; Metallurgy; Mineralogy; Copper; Chromatography; Materials science","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":true,"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":[0.0001668151,0.0004953723,0.0004333887,0.000407516,0.0002949709,0.0003821159,0.0002728254,0.0002731942,0.001016474],"category_scores_gemma":[0.0001089665,0.0001180306,0.0003601901,0.0003188277,0.0002316652,0.0001548372,0.0002797297,0.0002534213,0.0003936998],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004495423,"about_ca_system_score_gemma":0.0004321327,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.008560468,"about_ca_topic_score_gemma":0.02910182,"domain_scores_codex":[0.9998772,0.00001440876,0.000006665112,0.00002970092,0.00004213493,0.00002985604],"domain_scores_gemma":[0.9999098,0.000009953612,0.00002030475,0.000006408884,0.00003613353,0.00001749037],"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":[0.000072372,0.00001092134,0.00122264,0.00006388403,0.000003953399,0.00008236594,0.00003556391,0.00005667189,0.9961797,0.00001308119,0.00001204262,0.002246946],"study_design_scores_gemma":[0.000007207123,0.0006957974,0.02168117,0.00001482746,0.00002910074,0.0002411171,0.0002420232,0.0003285767,0.9746336,0.00002498915,0.002093986,0.000007678429],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9965714,0.0003982066,0.00197646,0.00002239999,0.00000568426,0.0000434657,0.0002017636,0.00002834502,0.000752283],"genre_scores_gemma":[0.9863309,0.0008250365,0.006415159,0.00004001535,0.000004977087,0.00004042877,0.0006157117,0.00002039349,0.005707486],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.008560468,"threshold_uncertainty_score":0.0170213,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01578990043890426,"score_gpt":0.2658794347637352,"score_spread":0.2500895343248309,"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."}}