{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004050008,0.0002842601,0.0003139802,0.00066036,0.0003239377,0.0006766727,0.0002797028,0.0006006159,0.0007080086],"category_scores_gemma":[0.0006411998,0.0001725972,0.0003236644,0.0004041543,0.0002380861,0.0003312979,0.0005260457,0.0003104027,0.0003690717],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002449534,"about_ca_system_score_gemma":0.0004007484,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002848692,"about_ca_topic_score_gemma":0.006370738,"domain_scores_codex":[0.9997186,0.00003603399,0.00002515223,0.00004825524,0.0001178139,0.00005404769],"domain_scores_gemma":[0.9998316,0.00004266313,0.00002416751,0.00001020514,0.00007710126,0.00001429236],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","study_design_scores_codex":[0.0003024758,0.00005802697,0.01529784,0.0001094265,0.00003217912,0.0001372068,0.0001553693,0.0006527674,0.9601363,0.0001052429,0.0001344136,0.02287878],"study_design_scores_gemma":[0.000008878273,0.0005443731,0.01934258,0.0000269388,0.00005027654,0.00040728,0.0004147392,0.002645409,0.9740686,0.0002689766,0.002208935,0.0000130546],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9933271,0.000555467,0.004992616,0.00009111786,0.000009817575,0.00002474445,0.0001312898,0.0000216735,0.00084615],"genre_scores_gemma":[0.9897517,0.0008965359,0.004123455,0.00005875542,0.00000648273,0.00001626314,0.0002576791,0.00002021793,0.00486889],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.002848692,"threshold_uncertainty_score":0.005664229,"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."}}