{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001021564,0.000281239,0.0003564091,0.0005250135,0.0002945483,0.0005074653,0.0003143888,0.0003484959,0.001387149],"category_scores_gemma":[0.0001158651,0.0001698969,0.0004183627,0.0005722073,0.0001592186,0.0005715693,0.0003265089,0.0004496374,0.001175175],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003645313,"about_ca_system_score_gemma":0.0004023305,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001460637,"about_ca_topic_score_gemma":0.002953243,"domain_scores_codex":[0.9999155,0.000004304552,0.00000443355,0.00001093808,0.00005014295,0.00001473541],"domain_scores_gemma":[0.9999671,0.000008191321,0.000003162768,0.000005631193,0.00001351437,0.000002336433],"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":[0.00006030425,0.00002200384,0.00007150244,0.0001546044,0.000007289515,0.0001219745,0.00005628457,0.0004207561,0.9607532,0.001040968,0.000617345,0.03667364],"study_design_scores_gemma":[0.000001975251,0.00002113543,0.0001590037,0.00001044655,0.000004582079,0.00009294944,0.00001360024,0.0006814476,0.9925569,0.0001701961,0.006283861,0.000003795324],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.773874,0.01783399,0.1396052,0.0006856718,0.0002452679,0.0001941515,0.001470893,0.001358412,0.0647324],"genre_scores_gemma":[0.7885058,0.01177439,0.0586395,0.0002574253,0.0000496806,0.0001125087,0.001912234,0.0003777053,0.1383707],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001460637,"threshold_uncertainty_score":0.00464046,"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."}}