{"id":"W4404384776","doi":"10.1080/09593330.2024.2423906","title":"Selective leaching of rare earths, base metals and precious metals from used smartphones","year":2024,"lang":"en","type":"article","venue":"Environmental Technology","topic":"Recycling and Waste Management Techniques","field":"Environmental Science","cited_by":6,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université Laval; Université du Québec; Institut National de la Recherche Scientifique","funders":"Fonds de recherche du Québec – Nature et technologies; Natural Sciences and Engineering Research Council of Canada","keywords":"Leaching (pedology); Base metal; Precious metal; Environmental science; Heavy metals; Metallurgy; Environmental chemistry; Waste management; Chemistry; Metal; Materials science; Engineering; Welding","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":[0.0007890426,0.0005436174,0.0007991807,0.0004830192,0.0002221641,0.0008608945,0.0004849292,0.0004790782,0.0007061206],"category_scores_gemma":[0.001063162,0.0002767135,0.0006613715,0.0003265211,0.0002756111,0.0004190257,0.0007421258,0.00037281,0.0004007297],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002628586,"about_ca_system_score_gemma":0.0003801709,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0009994507,"about_ca_topic_score_gemma":0.003067618,"domain_scores_codex":[0.9990925,0.0001672839,0.00009537861,0.0001766388,0.0003362749,0.0001319807],"domain_scores_gemma":[0.9994854,0.0001109138,0.0001217784,0.00003951297,0.0002063446,0.00003598418],"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":[0.0002569058,0.00004017104,0.001507419,0.0004177197,0.00003621893,0.0001054468,0.00008450488,0.0002721246,0.9862763,0.0000340055,0.00006941503,0.01089985],"study_design_scores_gemma":[0.00001070831,0.0008740017,0.003970086,0.00002643031,0.00006887323,0.0001469906,0.0001328499,0.000828947,0.9923498,0.00002987113,0.001548606,0.00001283274],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9922806,0.001303329,0.005189855,0.00003607038,0.00002917903,0.0001146731,0.0002734136,0.00004757292,0.0007252419],"genre_scores_gemma":[0.9711744,0.003050318,0.02106621,0.0001013676,0.0000209025,0.0002166736,0.0005633728,0.00006161653,0.003744988],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0009994507,"threshold_uncertainty_score":0.004172921,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.007325007088299295,"score_gpt":0.2165259915282807,"score_spread":0.2092009844399814,"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."}}