{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003594249,0.0001342249,0.000300911,0.00003065958,0.00007607942,0.000008679476,0.0001377882,0.00007068886,0.00009198472],"category_scores_gemma":[0.00002302654,0.000109827,0.0001899834,0.0004003381,0.0001008864,0.0001303075,0.00004820257,0.0003899313,0.000002189764],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00004709403,"about_ca_system_score_gemma":0.00001609843,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001264468,"about_ca_topic_score_gemma":0.000006408014,"domain_scores_codex":[0.9987724,0.0000437089,0.0004051749,0.000176479,0.0003390913,0.0002630828],"domain_scores_gemma":[0.9995214,0.00009829005,0.0001876936,0.0001150262,0.00002289585,0.00005471499],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"observational","study_design_scores_codex":[0.0002576099,0.001941716,0.05968659,0.000550382,0.0007752448,0.00008260005,0.01114612,0.2489978,0.1797126,0.00008162032,0.002477795,0.4942899],"study_design_scores_gemma":[0.007746882,0.008658005,0.5297667,0.0004269185,0.0003993468,0.000147878,0.07587586,0.06498469,0.03947847,0.0004772136,0.2689134,0.003124641],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.994829,0.0001757822,0.0008674993,0.0002519996,0.0001516901,0.0002218078,0.000001396407,0.0001116545,0.003389143],"genre_scores_gemma":[0.9783065,0.00003337213,0.02134687,0.0001709339,0.00002944515,0.0000371649,0.00002391401,0.00001269413,0.00003911317],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4911653,"threshold_uncertainty_score":0.4478617,"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."}}