{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001200205,0.0001777928,0.0002274039,0.0002469236,0.0001945399,0.0002337597,0.0002930994,0.0002751246,0.001344509],"category_scores_gemma":[0.0001977993,0.0001031255,0.0002011545,0.0001942567,0.0001726693,0.0002481648,0.0001449613,0.0003237385,0.0003331377],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002324618,"about_ca_system_score_gemma":0.000192011,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001884929,"about_ca_topic_score_gemma":0.003679136,"domain_scores_codex":[0.9999324,0.000007501401,0.000004860602,0.00001260808,0.00002225302,0.00002032199],"domain_scores_gemma":[0.9999504,0.00001310207,0.000009103196,0.000006087328,0.00001419849,0.000007136743],"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":[0.0003001687,0.00003136487,0.0002980567,0.00003757461,0.000008510066,0.00008847124,0.00005669524,0.0001340502,0.9975115,0.00004971199,0.00005341321,0.001430549],"study_design_scores_gemma":[0.000008430728,0.0001645056,0.001766121,0.000002677363,0.000007948971,0.0000472439,0.00003713694,0.0007767922,0.9966609,0.00001328927,0.0005117772,0.000003167731],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.998691,0.0001522698,0.000392151,0.00002788402,0.000004245619,0.000005359023,0.00007894164,0.00001223196,0.0006358544],"genre_scores_gemma":[0.997501,0.00007596601,0.0003220067,0.00000866368,0.000002378712,0.000003415031,0.000148058,0.00001062403,0.001927879],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001884929,"threshold_uncertainty_score":0.004497826,"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."}}