{"id":"W2141551881","doi":"10.3968/j.css.1923669720070303.010","title":"Estimating the Value of Forestry Eco-tourism Products by Contingent Valuation Method","year":2010,"lang":"en","type":"article","venue":"Canadian social science","topic":"Economic and Environmental Valuation","field":"Economics, Econometrics and Finance","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Contingent valuation; Tourism; Forestry; Value (mathematics); Valuation (finance); Willingness to pay; Business; Geography; Economics; Mathematics; Microeconomics; Archaeology","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"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":[0.004580741,0.0006681765,0.0005713415,0.003363381,0.0003744049,0.001652902,0.000711768,0.0006438098,0.00243061],"category_scores_gemma":[0.01282362,0.0002630055,0.00096426,0.002830759,0.0006386629,0.001918864,0.0009086555,0.0007421397,0.0002198224],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00112741,"about_ca_system_score_gemma":0.0008718026,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00408024,"about_ca_topic_score_gemma":0.003195928,"domain_scores_codex":[0.9971938,0.001775736,0.000138767,0.0002295448,0.0005377848,0.0001243993],"domain_scores_gemma":[0.9931386,0.005373586,0.0004997091,0.0004188724,0.0004865033,0.0000827504],"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":[0.0005228992,0.0003531216,0.2019075,0.0007254615,0.0006320917,0.0009386406,0.001145894,0.347405,0.007299524,0.08409657,0.002595942,0.3523774],"study_design_scores_gemma":[0.00002462455,0.0002033823,0.05219357,0.000171171,0.0001104371,0.0002824869,0.0007735675,0.9100523,0.002928204,0.03007336,0.003100745,0.00008623269],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.4018896,0.0009137731,0.5823247,0.0003728134,0.00006906036,0.0006387377,0.0008060064,0.0001211964,0.01286412],"genre_scores_gemma":[0.8834764,0.0003487994,0.1141413,0.00002765844,0.00002383675,0.0003312177,0.0003028309,0.00001185,0.001336022],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9959198,"threshold_uncertainty_score":0.02422553,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05069660529826012,"score_gpt":0.249342145032228,"score_spread":0.1986455397339679,"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."}}