{"id":"W4210490960","doi":"10.1007/978-3-030-92563-5_29","title":"Recovery of Terbium, Europium, and Yttrium from Waste Fluorescent Lamp Using Supercritical Fluid Extraction","year":2022,"lang":"en","type":"book-chapter","venue":"˜The œminerals, metals & materials series","topic":"Extraction and Separation Processes","field":"Engineering","cited_by":2,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Toronto","funders":"","keywords":"Tributyl phosphate; Fluorescence; Supercritical fluid extraction; X-ray photoelectron spectroscopy; Supercritical fluid; Extraction (chemistry); Europium; Nitric acid; Chemistry; Terbium; Yttrium; Fluorescent lamp; Materials science; Inorganic chemistry; Nuclear chemistry; Chemical engineering; Organic chemistry; Oxide","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":["metaepi_narrow","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0003559206,0.0005395308,0.0008736135,0.0001838933,0.0001900678,0.0002285935,0.0002166088,0.0002690977,0.005404186],"category_scores_gemma":[0.00003645826,0.0004761164,0.000144255,0.00005685214,0.0001731053,0.0007387025,0.0001272315,0.0003050039,0.00003396966],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00007674776,"about_ca_system_score_gemma":0.00005216697,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001598236,"about_ca_topic_score_gemma":0.00006749861,"domain_scores_codex":[0.9977408,0.000109129,0.001017927,0.0004224501,0.0004228236,0.0002868424],"domain_scores_gemma":[0.9990252,0.0001621117,0.0001434598,0.0004457909,0.0001346019,0.00008883961],"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":[0.0001342113,0.00001895929,9.325015e-7,0.0003669146,0.0001952883,0.00001877322,0.0001400482,0.0006676284,0.9919745,0.004574439,0.001823576,0.00008473101],"study_design_scores_gemma":[0.000402181,0.0001346993,0.0000349297,0.0002237619,0.0005599837,0.0001972275,0.0002199126,0.0002967268,0.5890334,0.003903068,0.4041002,0.0008939502],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9104258,0.01277376,0.0007604916,0.0004310002,0.01355313,0.001396488,0.003876962,0.0007907915,0.05599157],"genre_scores_gemma":[0.7981648,0.01837434,0.002325532,0.0004302921,0.003549268,0.0001640448,0.002057524,0.0007694879,0.1741647],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4029412,"threshold_uncertainty_score":0.999769,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02489717346916475,"score_gpt":0.2395892308314818,"score_spread":0.2146920573623171,"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."}}