{"id":"W4405025602","doi":"10.1002/adsu.202400887","title":"Sustainable Recovery of Rare Earth Metals from Smartphone Display using Nanoengineered Cellulose","year":2024,"lang":"en","type":"article","venue":"Advanced Sustainable Systems","topic":"Extraction and Separation Processes","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University","funders":"Canada Foundation for Innovation; Natural Sciences and Engineering Research Council of Canada; McGill University","keywords":"Rare earth; Cellulose; Astrobiology; Environmental science; Materials science; Chemical engineering; Metallurgy; Engineering; Physics","routes":{"ca_aff":true,"ca_fund":true,"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":[0.00008698006,0.000330663,0.0001792112,0.0002040476,0.0001192051,0.0002408068,0.0001652492,0.0003305801,0.001015334],"category_scores_gemma":[0.0001083793,0.00008293564,0.0003219061,0.0001791145,0.00009366101,0.0002776432,0.0002047135,0.0003033306,0.0005420516],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002145401,"about_ca_system_score_gemma":0.0001672678,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001041544,"about_ca_topic_score_gemma":0.002138554,"domain_scores_codex":[0.9999335,0.000004637436,0.000004125038,0.00001609858,0.00002708783,0.0000145483],"domain_scores_gemma":[0.9999485,0.00000743427,0.00001194025,0.000007178846,0.00001455208,0.00001047796],"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":[0.00001623104,0.00001035798,0.0001029614,0.00004215239,0.000003101503,0.00006709019,0.000007656465,0.0001127884,0.9969867,0.00004289658,0.0000791768,0.002528872],"study_design_scores_gemma":[0.000002677075,0.00005069798,0.0005875544,0.00000421157,0.00000394874,0.00006064774,0.00001188248,0.0008837775,0.996877,0.00001080896,0.001502076,0.000004672595],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9865459,0.001527974,0.007873548,0.0001245377,0.00005479759,0.00003486158,0.0003640031,0.000189296,0.003285061],"genre_scores_gemma":[0.9844989,0.001096401,0.008559933,0.0001006164,0.000010746,0.00002678362,0.0003258498,0.00003727901,0.00534349],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001041544,"threshold_uncertainty_score":0.00339663,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.008085586461874876,"score_gpt":0.2324095237327748,"score_spread":0.2243239372709,"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."}}