{"id":"W2138032543","doi":"10.1111/j.1939-7445.2006.tb00182.x","title":"ON HYPERBOLIC TIME DISCOUNTING IN EXHAUSTIBLE RESOURCE MODELS: AN APPLICATION TO WORLD OIL RESOURCES","year":2006,"lang":"en","type":"article","venue":"Natural Resource Modeling","topic":"Economic theories and models","field":"Economics, Econometrics and Finance","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Calgary","funders":"","keywords":"Hyperbolic discounting; Discounting; Economics; Time preference; Econometrics; Mathematical economics; Mathematics; Microeconomics","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":[0.004624272,0.0009609222,0.001087027,0.0007314135,0.000660147,0.002077457,0.002021723,0.00167669,0.005123206],"category_scores_gemma":[0.01413266,0.0005788565,0.001651452,0.00129568,0.002261299,0.003691059,0.002271164,0.003336327,0.0003561885],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003003366,"about_ca_system_score_gemma":0.001701826,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02156571,"about_ca_topic_score_gemma":0.01173862,"domain_scores_codex":[0.9992243,0.0004756657,0.00003258386,0.0000879682,0.0001108916,0.00006854422],"domain_scores_gemma":[0.9936368,0.004857728,0.000520153,0.0002317864,0.0005079883,0.0002455328],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00003516368,0.00002686493,0.0007318916,0.00006086665,0.00003143535,0.0001718639,0.0002095338,0.4437311,0.0001769363,0.5484934,0.001115881,0.00521511],"study_design_scores_gemma":[0.00001952607,0.00001769894,0.0001509338,0.00002607381,0.00001739884,0.00003178251,0.00007279266,0.6943647,0.00009114325,0.3030995,0.002083194,0.00002514467],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.06369335,0.001600331,0.910764,0.00282764,0.0002319006,0.00008223531,0.0002152182,0.00009192034,0.02049341],"genre_scores_gemma":[0.893925,0.003276651,0.08816886,0.0003773195,0.000215054,0.0001656146,0.000180278,0.00007870582,0.0136125],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.02156571,"threshold_uncertainty_score":0.04288036,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01765270128990485,"score_gpt":0.2152774512924411,"score_spread":0.1976247500025362,"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."}}