{"id":"W1579500788","doi":"10.1023/a:1008328920083","title":"Complements, Substitutes, Budget Constraints and Valuation","year":2000,"lang":"en","type":"article","venue":"Environmental and Resource Economics","topic":"Economic and Environmental Valuation","field":"Economics, Econometrics and Finance","cited_by":40,"is_retracted":false,"has_abstract":false,"ca_institutions":"Natural Resources Canada; Canadian Forest Service; University of Alberta","funders":"","keywords":"Contingent valuation; Recreation; Contrast (vision); Substitution (logic); Economics; Valuation (finance); Value (mathematics); Econometrics; Microeconomics; Computer science; Statistics; Mathematics; Willingness to pay; Ecology; Artificial intelligence; Biology","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":[0.005835959,0.001457588,0.003059375,0.002212093,0.001537399,0.007570328,0.001192991,0.004161991,0.01279678],"category_scores_gemma":[0.0212362,0.001145342,0.000968941,0.004416881,0.006522246,0.01012289,0.001799576,0.003537935,0.0006475016],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.004000468,"about_ca_system_score_gemma":0.003170043,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01069564,"about_ca_topic_score_gemma":0.008708366,"domain_scores_codex":[0.9965676,0.002265522,0.0001363617,0.0002466161,0.0004323004,0.00035151],"domain_scores_gemma":[0.9806518,0.01634269,0.001356065,0.0005218409,0.0007343971,0.0003932645],"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":[0.00007747106,0.00005894002,0.0005837631,0.0001862247,0.00004629601,0.0001567063,0.0001426216,0.01473594,0.00008156451,0.9709565,0.003449807,0.009524193],"study_design_scores_gemma":[0.00001948659,0.00001387842,0.0002433642,0.00008568402,0.00001921443,0.00008434668,0.0001765705,0.006901339,0.00003764293,0.9888617,0.003543675,0.00001306596],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.2755729,0.08143254,0.2324395,0.03483298,0.001045439,0.0002416771,0.001280811,0.0001428978,0.3730113],"genre_scores_gemma":[0.9259323,0.02470182,0.01449876,0.001057195,0.0008633753,0.0001591601,0.00032689,0.00005706843,0.03240338],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.01279678,"threshold_uncertainty_score":0.04280955,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04361292057209076,"score_gpt":0.1782819879875562,"score_spread":0.1346690674154655,"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."}}