{"id":"W4400238399","doi":"10.1007/s10853-024-09941-6","title":"A review on metal extraction from waste printed circuit boards (wPCBs)","year":2024,"lang":"en","type":"review","venue":"Journal of Materials Science","topic":"Recycling and Waste Management Techniques","field":"Environmental Science","cited_by":34,"is_retracted":false,"has_abstract":false,"ca_institutions":"Western University","funders":"Mitacs","keywords":"Materials science; Printed circuit board; Solid mechanics; Extraction (chemistry); Metallurgy; Metal; Forensic engineering; Waste management; Composite material; Engineering; Electrical engineering; Chromatography","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":[0.0005817703,0.0011093,0.001469396,0.002608468,0.0002314296,0.0009165237,0.000735556,0.0008894581,0.004234007],"category_scores_gemma":[0.0008161453,0.000383979,0.0008560696,0.002832922,0.0002627288,0.001005066,0.0005792301,0.001082367,0.001599362],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003552896,"about_ca_system_score_gemma":0.001243884,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001342181,"about_ca_topic_score_gemma":0.003195342,"domain_scores_codex":[0.9997519,0.00003161292,0.00004396133,0.00004058533,0.0001068996,0.00002508767],"domain_scores_gemma":[0.9996241,0.0001631514,0.0000774676,0.00001298526,0.00009931888,0.00002295772],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00008834971,0.0000955422,0.0001204505,0.08753114,0.0002835472,0.0001833082,0.00005544048,0.0003074408,0.00829854,0.001889494,0.03955984,0.861587],"study_design_scores_gemma":[0.00002177841,0.0001645297,0.0009096608,0.009101963,0.0005296295,0.000450574,0.00003874743,0.00005069112,0.00238977,0.0005082543,0.9858093,0.00002494672],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.0002191544,0.9981369,0.0001582977,0.0001141864,0.0003048167,0.00001191693,0.00005097128,0.000007702105,0.000996115],"genre_scores_gemma":[0.0006758238,0.9979624,0.0002468336,0.0001554999,0.00008241872,0.000008592579,0.00004959734,0.000001750424,0.0008171513],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.004234007,"threshold_uncertainty_score":0.01416421,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05933675751428578,"score_gpt":0.3594511875733061,"score_spread":0.3001144300590203,"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."}}