{"id":"W3045381122","doi":"10.1002/cjce.23845","title":"Iron recovery from zinc mine tailings by magnetic separation followed by carbothermal reduction of self‐reducing briquettes","year":2020,"lang":"en","type":"article","venue":"The Canadian Journal of Chemical Engineering","topic":"Metal Extraction and Bioleaching","field":"Engineering","cited_by":11,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Briquette; Tailings; Carbothermic reaction; Magnetic separation; Raw material; Materials science; Metallurgy; Zinc; Waste management; Hematite; Slag (welding); Coal; Chemistry; Carbide","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001364724,0.000140184,0.0002146253,0.00005871896,0.0000279255,0.00003907125,0.0001574652,0.0000956746,0.00006554351],"category_scores_gemma":[0.00008359708,0.0001255677,0.00009681126,0.0001416129,0.0000188862,0.0001574343,0.000005115541,0.000397045,0.000002032923],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001493955,"about_ca_system_score_gemma":0.00005765071,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001630441,"about_ca_topic_score_gemma":0.00003055684,"domain_scores_codex":[0.9991789,0.00001653813,0.0003843775,0.00009019986,0.0001428596,0.0001871443],"domain_scores_gemma":[0.9994536,0.0000470835,0.00009628186,0.00007958741,0.00003319404,0.0002902614],"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":[0.00001014752,0.000003253662,0.000009888136,0.00002845695,0.0000397275,0.000002484646,0.0003815118,0.050102,0.9452369,0.000002534894,0.003377558,0.0008055011],"study_design_scores_gemma":[0.0002916515,0.00005751319,0.00001747972,0.0000792423,0.00006621437,0.00003708048,0.00003286738,0.1034347,0.8912015,0.000005505643,0.004589153,0.0001870715],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9959731,0.001952307,0.0009529071,0.0005692755,0.0003228254,0.00005823732,0.00002077949,0.00003920436,0.0001113945],"genre_scores_gemma":[0.9987552,0.00002344646,0.0007869281,0.00005475572,0.0003178051,0.000001132806,0.00001463682,0.00003077231,0.00001534537],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.05403546,"threshold_uncertainty_score":0.51205,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.004865971118215635,"score_gpt":0.1749180815053951,"score_spread":0.1700521103871795,"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."}}