{"id":"W4312800568","doi":"10.1130/abs/2022am-379001","title":"IN-SITU REMEDIATION OF URANIUM FOLLOWING ISR MINING","year":2022,"lang":"en","type":"article","venue":"Abstracts with programs - Geological Society of America","topic":"Metal Extraction and Bioleaching","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"Cameco (Canada)","funders":"Los Alamos National Laboratory; National Nuclear Security Administration; U.S. Department of Energy","keywords":"Environmental remediation; Uranium; Uranium mining; In situ; Environmental science; Mining engineering; Computer science; Geology; Materials science; Contamination; Chemistry; Metallurgy","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":[0.0002448047,0.0002176411,0.0006465427,0.0003799171,0.0005780942,0.0005844473,0.000436242,0.0005211234,0.002533443],"category_scores_gemma":[0.0003223898,0.0001243836,0.000265973,0.0002697645,0.0002127768,0.0003724401,0.0003692396,0.0003233582,0.0005258502],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003574119,"about_ca_system_score_gemma":0.0003195361,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00314068,"about_ca_topic_score_gemma":0.008613162,"domain_scores_codex":[0.9998018,0.00002990405,0.000009358715,0.00004271906,0.00006526789,0.00005087326],"domain_scores_gemma":[0.9998803,0.00002330659,0.0000231615,0.00001175527,0.0000515965,0.000009830148],"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":[0.00136802,0.0001550577,0.007586625,0.0001898402,0.00002298476,0.0002797781,0.0002867091,0.001236474,0.9683253,0.0001487383,0.0004027461,0.01999773],"study_design_scores_gemma":[0.00002257723,0.0007868639,0.01394979,0.00002031568,0.000037051,0.0001475135,0.0005348985,0.005423521,0.9759147,0.0001322352,0.003021625,0.000009048119],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9927192,0.0002096206,0.002456869,0.00008923167,0.00004521665,0.0000339815,0.0002037013,0.00006615634,0.004176061],"genre_scores_gemma":[0.9944073,0.0001181179,0.00138995,0.00002297115,0.000006739968,0.000008850113,0.0001038677,0.00001645627,0.003925608],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.00314068,"threshold_uncertainty_score":0.008475184,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01747963361972702,"score_gpt":0.2405521227829931,"score_spread":0.2230724891632661,"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."}}