{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001124331,0.0002756683,0.00019017,0.0002728309,0.0001252361,0.0001488048,0.0002064764,0.0002139065,0.0009104992],"category_scores_gemma":[0.0001121907,0.0001324637,0.0002536072,0.0001561809,0.0001311883,0.000174831,0.000169097,0.0003020182,0.0003255864],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001391659,"about_ca_system_score_gemma":0.0001343335,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0008247669,"about_ca_topic_score_gemma":0.003287002,"domain_scores_codex":[0.9999101,0.000007841645,0.000005068357,0.00001851836,0.00003808032,0.00002039323],"domain_scores_gemma":[0.999949,0.000006542241,0.000017892,0.000007222262,0.00001443682,0.000004954987],"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":[0.00004371884,0.00001081552,0.00009426803,0.00005294134,0.000005372646,0.00003344947,0.00001236611,0.0000889173,0.9985227,0.00002337451,0.00003678779,0.001075398],"study_design_scores_gemma":[0.000005993417,0.00009466438,0.0009398191,0.000003046164,0.000005870839,0.00005806707,0.00001444552,0.0005517316,0.997617,0.00001030638,0.0006964492,0.000002741261],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9923965,0.0006807845,0.004750978,0.00004236967,0.00001940794,0.00003101671,0.0001023794,0.00009926538,0.001877244],"genre_scores_gemma":[0.9917311,0.0004833082,0.004078804,0.00003124324,0.000006552469,0.00001435115,0.0001244556,0.00003114513,0.003499208],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0009104992,"threshold_uncertainty_score":0.003045917,"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."}}