{"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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0002617776,0.0002996514,0.0004747298,0.0003363173,0.0001054957,0.0002262866,0.0001549673,0.0001460648,0.0001114315],"category_scores_gemma":[0.0001116241,0.0002990757,0.0001261695,0.0008911375,0.00003094475,0.001555125,0.00003798514,0.0002119333,0.00003523185],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002666856,"about_ca_system_score_gemma":0.0001712518,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0005711282,"about_ca_topic_score_gemma":0.00001141271,"domain_scores_codex":[0.9981204,0.00005400962,0.0006000303,0.0003436704,0.0002807251,0.0006012039],"domain_scores_gemma":[0.9988961,0.0002016087,0.00007995344,0.0003407435,0.0003600343,0.0001215432],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00004042493,0.00002884776,0.00001438017,0.005932076,0.0002256483,0.0003572779,0.0007150166,0.9183223,0.05919262,0.0133628,0.001466546,0.0003420888],"study_design_scores_gemma":[0.0007981167,0.0001110352,0.00004011029,0.0006264048,0.0001565343,0.00005224185,0.03397232,0.4452839,0.09679665,0.001733755,0.4195209,0.0009079723],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.589977,0.09715471,0.2878715,0.00003872176,0.003769493,0.001686293,0.0001341038,0.001856689,0.01751155],"genre_scores_gemma":[0.9124814,0.0002725048,0.0006696261,0.000006667668,0.000128029,0.00007420578,0.00006931492,0.00008782862,0.08621048],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4730383,"threshold_uncertainty_score":0.9999461,"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."}}