{"id":"W4206346732","doi":"10.3390/met12010091","title":"Recovery and Recycling of Valuable Metals","year":2022,"lang":"en","type":"article","venue":"Metals","topic":"Extraction and Separation Processes","field":"Engineering","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"Impact","funders":"","keywords":"Prosperity; Environmental science; Natural resource economics; Environmental ethics; Political science; Economics; Philosophy; Law","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":[0.0005188652,0.0004673211,0.000626415,0.001193791,0.000906143,0.001506778,0.0008020889,0.0008540241,0.004850305],"category_scores_gemma":[0.0006219708,0.0002861548,0.0005568073,0.001191702,0.0005751363,0.001201375,0.001519285,0.0008062288,0.004306704],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007486031,"about_ca_system_score_gemma":0.001328001,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002110073,"about_ca_topic_score_gemma":0.003967944,"domain_scores_codex":[0.9993648,0.00005427847,0.00003136912,0.0001030098,0.0003091575,0.0001373929],"domain_scores_gemma":[0.9998435,0.00001931844,0.0000274715,0.00003368903,0.00006507097,0.00001095128],"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":[0.0003751545,0.0001811107,0.002284099,0.005746722,0.0001208671,0.00129724,0.0006366658,0.004299805,0.4704414,0.04511474,0.03048847,0.4390138],"study_design_scores_gemma":[0.00002567458,0.000292144,0.002068866,0.0005490273,0.00007110814,0.0017019,0.0005187899,0.004629306,0.5377173,0.01247649,0.4398966,0.00005278325],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.4161197,0.1523277,0.1564851,0.01130966,0.002468069,0.0006347793,0.002770541,0.002470985,0.2554136],"genre_scores_gemma":[0.7742151,0.08793182,0.03931904,0.001731844,0.0003917946,0.0001844519,0.00131382,0.0002972991,0.09461489],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.004850305,"threshold_uncertainty_score":0.01622587,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02427978197490133,"score_gpt":0.2547252811707333,"score_spread":0.230445499195832,"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."}}