{"id":"W4206745371","doi":"10.1007/s40831-021-00475-8","title":"Recovery of Titania Slag and Iron from Semi-molten State Reduced Ilmenite Concentrate: Liberation Characteristics and Magnetic Separation","year":2022,"lang":"en","type":"article","venue":"Journal of Sustainable Metallurgy","topic":"Iron and Steelmaking Processes","field":"Engineering","cited_by":7,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Toronto","funders":"National Key Research and Development Program of China; National Natural Science Foundation of China","keywords":"Magnetic separation; Metallurgy; Ilmenite; Sodium carbonate; Materials science; Magnetite; Slag (welding); Smelting; Grinding; Sodium; Chemistry; Mineralogy","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":[0.0002792966,0.000115015,0.0002633934,0.0001297572,0.00008980308,0.00007578484,0.00006724415,0.00003299633,0.0001346058],"category_scores_gemma":[0.00004328936,0.0001156896,0.00003148509,0.0001336166,0.00002440852,0.0003466506,0.00004176699,0.0001844891,4.302107e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001050491,"about_ca_system_score_gemma":0.0000730795,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0000180806,"about_ca_topic_score_gemma":0.000001465778,"domain_scores_codex":[0.9990526,0.0000636013,0.0004212279,0.00009229595,0.0001999109,0.0001703183],"domain_scores_gemma":[0.9994251,0.00005660533,0.0002322075,0.00007206353,0.0001559867,0.00005805119],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"not_applicable","study_design_scores_codex":[0.002723232,0.0004342357,0.001443604,0.003955313,0.0009215841,0.002236101,0.02416176,0.2854987,0.6150677,0.008231421,0.003314945,0.05201141],"study_design_scores_gemma":[0.0118873,0.008928952,0.06898711,0.0004813159,0.001924736,0.002002764,0.04466762,0.3001435,0.04109564,0.01361786,0.5033306,0.002932561],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9946032,0.002977681,0.001261152,0.00006362965,0.000215162,0.0001115925,0.00001634175,0.00001575089,0.0007355455],"genre_scores_gemma":[0.9956875,0.000948832,0.000352653,0.00002685368,0.00005283836,0.000004452349,0.00001356566,0.00001996993,0.002893348],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.573972,"threshold_uncertainty_score":0.4717683,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.004663258825880848,"score_gpt":0.2015255824922131,"score_spread":0.1968623236663323,"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."}}