{"id":"W2021807667","doi":"10.1007/s11837-006-0006-z","title":"Silver cycles: The stocks and flows project, part 3","year":2006,"lang":"en","type":"article","venue":"JOM","topic":"Extraction and Separation Processes","field":"Engineering","cited_by":6,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"Yale University; National Science Foundation","keywords":"Resource (disambiguation); Natural resource economics; Quarter (Canadian coin); Environmental science; Resource recovery; Waste management; Business; Engineering; Economics; Archaeology; Geography; Wastewater; Computer science","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.003218139,0.001276682,0.0007074637,0.001542414,0.000870129,0.003451826,0.001160707,0.001179619,0.008150703],"category_scores_gemma":[0.002619499,0.0004598044,0.000623832,0.001899674,0.0007753529,0.002370637,0.001635951,0.001087186,0.001893657],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00254291,"about_ca_system_score_gemma":0.008551132,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.03186641,"about_ca_topic_score_gemma":0.04176191,"domain_scores_codex":[0.9988872,0.0002635542,0.00002079069,0.0001301528,0.0005572848,0.0001408947],"domain_scores_gemma":[0.9984493,0.000383522,0.0001788656,0.0002319987,0.0004090164,0.0003472085],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"observational","study_design_scores_codex":[0.001977784,0.00240226,0.01882407,0.000585453,0.0002674256,0.0003047181,0.0003954492,0.07497473,0.007697187,0.08855323,0.3390635,0.4649542],"study_design_scores_gemma":[0.001690277,0.002033278,0.03800956,0.0005032083,0.0002680417,0.0002682511,0.0007704945,0.2202583,0.05077106,0.1411023,0.5441787,0.0001465507],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.3989615,0.007440992,0.08456645,0.01787924,0.001987835,0.001801716,0.06609688,0.007705905,0.4135595],"genre_scores_gemma":[0.6009245,0.004441781,0.1026497,0.002057546,0.0005105646,0.00113715,0.04867446,0.003603295,0.2360009],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.03186641,"threshold_uncertainty_score":0.06336182,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01141984255080158,"score_gpt":0.2334837673037292,"score_spread":0.2220639247529276,"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."}}