{"id":"W3122292052","doi":"10.4337/9781781953433.00013","title":"Appropriate discounting for benefit–cost analysis","year":2013,"lang":"en","type":"book-chapter","venue":"Edward Elgar Publishing eBooks","topic":"Economic and Environmental Valuation","field":"Economics, Econometrics and Finance","cited_by":2,"is_retracted":false,"has_abstract":false,"ca_institutions":"Western University","funders":"","keywords":"Discounting; Economics; Finance","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":[0.005390008,0.001697798,0.001454508,0.001381782,0.0005017091,0.003389641,0.001874439,0.002260235,0.02085165],"category_scores_gemma":[0.02251795,0.001271175,0.001097793,0.001937579,0.001602003,0.008192628,0.001315469,0.00618574,0.004951344],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002410651,"about_ca_system_score_gemma":0.001890955,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002860987,"about_ca_topic_score_gemma":0.002505111,"domain_scores_codex":[0.9975595,0.001086563,0.0001509654,0.0002037009,0.0008465292,0.0001527498],"domain_scores_gemma":[0.995711,0.002546562,0.0001908133,0.0007548563,0.0006888682,0.0001077747],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.00001747675,0.00002765127,0.0000705476,0.0001363882,0.00002353944,0.00006031432,0.00008031213,0.01127657,0.0002056075,0.9080047,0.01676279,0.06333423],"study_design_scores_gemma":[0.00000462705,0.000005699288,0.00005475171,0.00008035127,0.00001562635,0.00003660516,0.0000197972,0.01648113,0.0001689567,0.9490621,0.03405863,0.00001174367],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.001398752,0.007426818,0.8880473,0.00307857,0.001215937,0.0001060216,0.0003037861,0.0002433996,0.09817928],"genre_scores_gemma":[0.2485386,0.02821478,0.4758081,0.001562447,0.003524239,0.000510967,0.0009414197,0.001598453,0.239301],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.02085165,"threshold_uncertainty_score":0.06975567,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.08201795861134588,"score_gpt":0.2103465188656211,"score_spread":0.1283285602542752,"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."}}