{"id":"W4233114527","doi":"10.46427/gold2020.1167","title":"Recovering Tungsten from Mine Tailings: Characterization, Aqueous Geochemistry and Environmental Risk","year":2020,"lang":"en","type":"article","venue":"Goldschmidt Abstracts","topic":"Metal Extraction and Bioleaching","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"Government of Northwest Territories","funders":"","keywords":"Tailings; Tungsten; Characterization (materials science); Geology; Geochemistry; Environmental science; Mining engineering; Metallurgy; Materials science; Nanotechnology","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":[0.00006816034,0.0001987596,0.0001808882,0.00002205903,0.00006651413,0.00007915882,0.0000916503,0.0001251287,0.0003807959],"category_scores_gemma":[0.00005743489,0.0002102686,0.00004741022,0.00004853096,0.00002254943,0.0002438695,0.0000359601,0.0003323024,0.0001329789],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003169744,"about_ca_system_score_gemma":0.000005426815,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0000494697,"about_ca_topic_score_gemma":0.000003810595,"domain_scores_codex":[0.9990848,0.00001350683,0.0003004676,0.0002676165,0.0001344077,0.0001992176],"domain_scores_gemma":[0.9995099,0.00004007425,0.00009369607,0.0001287307,0.000005262758,0.0002223758],"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":[0.00001516081,0.00001411165,0.002176772,0.00003848947,0.0000449041,0.0000187605,0.0002788751,0.001093615,0.975971,5.18859e-7,0.0001314212,0.02021631],"study_design_scores_gemma":[0.001329592,0.00007710991,0.2032184,0.0001142023,0.0001500034,0.00005066522,0.0007071426,0.10692,0.5552036,0.00004844593,0.1308751,0.00130571],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.996527,0.0003817322,0.0003952135,0.0001079153,0.0001981904,0.00008837298,0.0001865928,0.0002482033,0.001866786],"genre_scores_gemma":[0.9977005,0.000557085,0.0005268595,0.000191409,0.0003777035,0.000004222428,0.0004916106,0.00003455628,0.000116016],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4207675,"threshold_uncertainty_score":0.8574502,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.006118538678924414,"score_gpt":0.1612443236402245,"score_spread":0.1551257849613001,"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."}}