{"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":"codex-gemma-dda1882f352a","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0001699807,0.00013899,0.0001980057,0.00002143697,0.0001330537,0.00003898504,0.00009953405,0.00007307834,0.001308209],"category_scores_gemma":[0.0002234029,0.0001416209,0.00009552388,0.00008784098,0.0000321335,0.0001707257,0.00002993966,0.0001368367,0.000002902285],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001781766,"about_ca_system_score_gemma":0.00009019502,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001301859,"about_ca_topic_score_gemma":0.000004734152,"domain_scores_codex":[0.9989979,0.00001413393,0.0003146508,0.0003238955,0.0001428706,0.0002065859],"domain_scores_gemma":[0.9993638,0.00004958961,0.0001973902,0.000192976,0.0001516746,0.00004452156],"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":[0.000049714,0.0000605083,0.0009941562,0.0007101766,0.00007170327,0.000002971578,0.0003417511,0.00001852898,0.9913266,0.00002723942,0.0007477881,0.005648837],"study_design_scores_gemma":[0.0004400683,0.00001256244,0.000009258694,0.0001326409,0.0000313298,0.0000168925,0.0005436884,0.00003475523,0.9196924,0.0002161067,0.07872791,0.0001423823],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9801785,0.0009060555,0.0000902997,0.0003061407,0.00009218023,0.0000609569,0.0000461581,0.0000370937,0.01828261],"genre_scores_gemma":[0.955613,0.00002071796,0.002022163,0.0000819519,0.0004441405,0.00002580312,0.0002829485,0.00002061706,0.04148863],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.07798012,"threshold_uncertainty_score":0.9996047,"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."}}