{"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":"codex-gemma-dda1882f352a","candidate_categories":["insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.00469736,0.0003848679,0.001493072,0.0003049928,0.0001112969,0.000353441,0.001349606,0.0001170759,0.00100282],"category_scores_gemma":[0.0002890214,0.0002379565,0.0004424847,0.0007821313,0.0002940496,0.0005395569,0.0004318323,0.0004222421,0.0009583245],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005371835,"about_ca_system_score_gemma":0.0001146524,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00003890731,"about_ca_topic_score_gemma":8.674107e-7,"domain_scores_codex":[0.9963017,0.0002547359,0.001381089,0.0005456273,0.001196968,0.0003198494],"domain_scores_gemma":[0.9977202,0.00007569096,0.001520038,0.000501469,0.00003403059,0.0001486121],"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":[0.000007427424,0.00008406911,3.902496e-7,0.009871735,0.00008372689,0.0001160858,0.0000227177,0.000005568703,0.006557748,0.00005768981,0.01669108,0.9665018],"study_design_scores_gemma":[0.00003957422,0.0001390395,0.000003370731,0.08626071,0.00111406,0.0001405409,0.000006515268,0.000001832406,0.002461883,0.0003289022,0.9092439,0.0002596277],"study_design_candidate":"design_other","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.0006164404,0.9933135,0.0001255843,0.00007510313,0.002594566,0.0005394638,0.00002899584,0.00005540873,0.002650972],"genre_scores_gemma":[0.0002053472,0.9982796,0.0005581368,0.0001614402,0.0003619691,0.00001842558,0.000004459128,0.00003242687,0.0003781552],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.9662421,"threshold_uncertainty_score":0.9999104,"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."}}