{"id":"W3215225480","doi":"10.1002/9783527816392.ch10","title":"Processing of Nonmetal Fraction from Printed Circuit Boards and Reutilization","year":2021,"lang":"en","type":"other","venue":"","topic":"Recycling and Waste Management Techniques","field":"Environmental Science","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia","funders":"","keywords":"Nonmetal; Printed circuit board; Fraction (chemistry); Mass fraction; Electronic waste; Electronic equipment; Waste management; Non-negative matrix factorization; Materials science; Environmental science; Metal; Engineering; Composite material; Chemistry; Metallurgy; Electrical engineering; Organic chemistry; Physics","routes":{"ca_aff":true,"ca_fund":false,"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":[0.00021601,0.000639104,0.0003127643,0.00137344,0.000381808,0.0008240647,0.0004711762,0.0003702671,0.01084866],"category_scores_gemma":[0.0002611719,0.0001513926,0.0004433106,0.00103654,0.0001548584,0.0006731514,0.0004149746,0.0004357269,0.005623304],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004654528,"about_ca_system_score_gemma":0.0004547793,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001019969,"about_ca_topic_score_gemma":0.00324425,"domain_scores_codex":[0.9996697,0.00002234908,0.00001415644,0.00005184357,0.0002014833,0.00004043076],"domain_scores_gemma":[0.9999148,0.00001263795,0.00001625384,0.00001318422,0.00003660685,0.000006654337],"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":[0.0001701085,0.0001895739,0.001537096,0.002453287,0.00002820409,0.001015396,0.0002470979,0.00125394,0.5155116,0.008177927,0.01030645,0.4591093],"study_design_scores_gemma":[0.000006087725,0.0001435808,0.002471877,0.0001856141,0.00002856726,0.000803762,0.0001423697,0.001208738,0.7425724,0.001129981,0.2512886,0.00001839703],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.3308916,0.05511473,0.1167594,0.001245803,0.001155591,0.0007977615,0.003685508,0.003183213,0.4871664],"genre_scores_gemma":[0.4572574,0.05588276,0.0963273,0.0006590527,0.0001710363,0.0003392995,0.004127888,0.001039496,0.3841957],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.01084866,"threshold_uncertainty_score":0.03629243,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01637370119911425,"score_gpt":0.248494125334721,"score_spread":0.2321204241356067,"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."}}