{"id":"W3217325711","doi":"10.3390/materproc2021005039","title":"Green Zero-Waste Metal Extraction and Recycling from Printed Circuit Boards","year":2021,"lang":"en","type":"article","venue":"","topic":"Extraction and Separation Processes","field":"Engineering","cited_by":17,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université Laval","funders":"","keywords":"Extraction (chemistry); Printed circuit board; Zero waste; Waste management; Electronic waste; Base metal; Choline chloride; Materials science; Metal; Metallurgy; Chemistry; Chromatography; Computer science; Engineering; Organic chemistry","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":[0.0001265336,0.0002722545,0.0001672547,0.0002135815,0.0001887903,0.0003853565,0.0001761699,0.0002348495,0.0006007047],"category_scores_gemma":[0.0001877913,0.000108039,0.0001264976,0.0002482221,0.0002288922,0.0004184178,0.000248308,0.0002011798,0.0005053352],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002111666,"about_ca_system_score_gemma":0.0001961604,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000738195,"about_ca_topic_score_gemma":0.002223968,"domain_scores_codex":[0.9998227,0.00002496414,0.000007572098,0.0000328262,0.00008007555,0.00003189797],"domain_scores_gemma":[0.999949,0.0000114858,0.0000130414,0.000006490092,0.00001597215,0.000004133071],"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":[0.00003165009,0.000008673465,0.0003071325,0.00006831349,0.000004664499,0.00006348322,0.00003556673,0.0004801397,0.9921677,0.0002056099,0.00003380654,0.00659333],"study_design_scores_gemma":[9.867592e-7,0.00002052442,0.0003154184,0.000002059645,0.00000211337,0.00003580085,0.00001974805,0.0006604426,0.9979466,0.00003162769,0.0009631467,0.000001683085],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9689552,0.001499251,0.02488376,0.00008724824,0.00001608798,0.00002119934,0.00006962143,0.00008476802,0.004382923],"genre_scores_gemma":[0.9814106,0.001377121,0.01157883,0.00003915283,0.000005153774,0.00001078472,0.0001074188,0.00002991591,0.005441119],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.000738195,"threshold_uncertainty_score":0.002009511,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02563946253249381,"score_gpt":0.2602874796140361,"score_spread":0.2346480170815423,"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."}}