{"id":"W2046001498","doi":"10.1111/j.0008-4085.2004.010_1.x","title":"An incremental analysis of the value of expanding a wilderness area","year":2004,"lang":"en","type":"article","venue":"Canadian Journal of Economics/Revue canadienne d économique","topic":"Economic and Environmental Valuation","field":"Economics, Econometrics and Finance","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Victoria; Natural Resources Canada","funders":"","keywords":"Wilderness; Wilderness area; Value (mathematics); Logging; Current (fluid); Geography; Environmental science; Environmental resource management; Forestry; Mathematics; Statistics; Geology; Ecology","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":true,"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":[0.001507543,0.0003090535,0.0003219288,0.001225431,0.000475085,0.001640973,0.001096338,0.0007551105,0.008421892],"category_scores_gemma":[0.008637451,0.0001963743,0.0005110194,0.001523271,0.001492548,0.002943879,0.001194221,0.001563733,0.0001371021],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002841965,"about_ca_system_score_gemma":0.000770164,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.007952167,"about_ca_topic_score_gemma":0.008897791,"domain_scores_codex":[0.9996013,0.000161762,0.00001111864,0.00005631671,0.0001135134,0.00005604827],"domain_scores_gemma":[0.9953838,0.003455818,0.0003309634,0.0001530374,0.0004204412,0.0002559812],"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":[0.0005610749,0.0003370274,0.05796685,0.0003054305,0.0001806745,0.0008943104,0.0006444711,0.3255717,0.003680139,0.4885775,0.004653865,0.1166271],"study_design_scores_gemma":[0.0000569183,0.0004411578,0.0362518,0.00008812468,0.0001806336,0.000341998,0.0009196342,0.699608,0.001593247,0.2539017,0.006556594,0.00006033539],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.897365,0.0009871197,0.06724865,0.002041901,0.00006459963,0.0001068001,0.0005201701,0.00006845281,0.03159723],"genre_scores_gemma":[0.9913113,0.0002301818,0.005268302,0.00004248911,0.00002653852,0.00002026934,0.00008837486,0.00000730693,0.00300518],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.9920478,"threshold_uncertainty_score":0.02817404,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1937388872544849,"score_gpt":0.1872062466496934,"score_spread":0.006532640604791556,"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."}}