{"id":"W4319778821","doi":"10.1007/978-3-031-22532-1_157","title":"Solvent Extraction of Scandium from Titanium Process Solutions","year":2023,"lang":"en","type":"book-chapter","venue":"˜The œminerals, metals & materials series","topic":"Bauxite Residue and Utilization","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"Rio Tinto (Canada)","funders":"","keywords":"Scandium; Extraction (chemistry); Aliquat 336; Aqueous solution; Raw material; Materials science; Stripping (fiber); Titanium; Hydrometallurgy; Ilmenite; Inorganic chemistry; Metallurgy; Chemistry; Solvent extraction; Sulfuric acid; Mineralogy; Chromatography; Organic chemistry","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":[0.0001159255,0.0004278959,0.0003702277,0.0005886697,0.0003919433,0.0005564425,0.0004415199,0.0003095283,0.004439382],"category_scores_gemma":[0.0001130298,0.0002348502,0.0004634245,0.0005954022,0.0001888102,0.0004624151,0.0003226788,0.0005328262,0.003992295],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003990952,"about_ca_system_score_gemma":0.0004848123,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0009466882,"about_ca_topic_score_gemma":0.00306816,"domain_scores_codex":[0.9998865,0.000006658503,0.000006501158,0.00002144665,0.00005772616,0.00002113754],"domain_scores_gemma":[0.9999679,0.00001100249,0.000004187969,0.000003541594,0.0000105893,0.000002734102],"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":[0.00009263969,0.00002273706,0.00008142984,0.0002883018,0.00001155876,0.0001450866,0.00007342975,0.00024643,0.9573413,0.001697984,0.001138384,0.03886073],"study_design_scores_gemma":[0.000003817323,0.00005245185,0.0001850792,0.00001721388,0.000008777738,0.0001555817,0.00003015623,0.0003553935,0.9743711,0.0002311767,0.02458389,0.000005353508],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.518176,0.02845995,0.1764489,0.0008390644,0.001283913,0.0004383519,0.001728735,0.001628017,0.2709971],"genre_scores_gemma":[0.5368838,0.02316835,0.04895667,0.000468074,0.0001479478,0.0001434988,0.002639774,0.0005742006,0.3870177],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.004439382,"threshold_uncertainty_score":0.01485121,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02899717791793322,"score_gpt":0.2392788879467113,"score_spread":0.2102817100287781,"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."}}