{"id":"W3123393482","doi":"","title":"A Test of the Hotelling Rule Using Old-Growth Timber Data","year":2003,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Economic and Environmental Valuation","field":"Economics, Econometrics and Finance","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"Agriculture and Agri-Food Canada; University of Guelph","funders":"","keywords":"Stumpage; Economics; Non-renewable resource; Common value auction; Scarcity; Microeconomics; Resource (disambiguation); Econometrics; Economic rent; Natural resource economics; Agricultural economics; Computer science; Engineering","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":[0.02116413,0.0006325256,0.001411114,0.001371662,0.001394396,0.002569258,0.002623056,0.00153403,0.005224823],"category_scores_gemma":[0.09896908,0.0003358227,0.001770748,0.002125175,0.002349294,0.003146446,0.001450555,0.002109799,0.001137081],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001239247,"about_ca_system_score_gemma":0.001650818,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01163192,"about_ca_topic_score_gemma":0.005567448,"domain_scores_codex":[0.9891304,0.005987093,0.0008868565,0.001922692,0.001295356,0.0007775734],"domain_scores_gemma":[0.7500539,0.2039043,0.02528439,0.01047014,0.00722093,0.003066177],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.003979861,0.001308853,0.822926,0.0005378374,0.002018809,0.002467324,0.001373862,0.05598366,0.00272114,0.05832492,0.008871514,0.03948614],"study_design_scores_gemma":[0.001561455,0.0032837,0.2933014,0.0001463596,0.0007406836,0.001364546,0.00470482,0.6182241,0.006156599,0.06415226,0.006053984,0.0003101399],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9865525,0.0001636559,0.008348853,0.0004677702,0.00005903796,0.00004973311,0.0008627209,0.00008620945,0.003409358],"genre_scores_gemma":[0.9965574,0.00004868954,0.001773654,0.00009018423,0.00004537589,0.0000198268,0.001172968,0.00002403994,0.0002680506],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02116413,"threshold_uncertainty_score":0.111928,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0855178996401872,"score_gpt":0.2228906044641366,"score_spread":0.1373727048239494,"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."}}