{"id":"W2314594602","doi":"","title":"Estimating Willingness to Pay to Protect Acequia Irrigation and Culture Lessons from San Miguel County, New Mexico","year":2014,"lang":"en","type":"article","venue":"Journal of rural and community development","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; Willingness to pay; Valuation (finance); Negotiation; Scarcity; Irrigation; Business; Environmental planning; Geography; Socioeconomics; Economic growth; Environmental resource management; Economics; Sociology; Finance; Social science","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":[0.0009292428,0.0002713499,0.0002194295,0.0008005782,0.0004368343,0.0008119216,0.0006143478,0.0003845989,0.002099411],"category_scores_gemma":[0.003778878,0.0001237179,0.0003010529,0.0008434071,0.0002210945,0.000417416,0.0004166662,0.0003996438,0.00008752144],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001930978,"about_ca_system_score_gemma":0.0005381815,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.1809059,"about_ca_topic_score_gemma":0.1654691,"domain_scores_codex":[0.9998242,0.00008558238,0.000006369572,0.00003147995,0.00001679169,0.00003567087],"domain_scores_gemma":[0.9982588,0.001134317,0.0002802651,0.00007491543,0.0001565502,0.00009514546],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.000309537,0.0004598617,0.95631,0.0000421442,0.0001736876,0.0004449594,0.0009224733,0.02217738,0.0003123341,0.002185865,0.002377683,0.01428392],"study_design_scores_gemma":[0.00007447541,0.0001909961,0.9212113,0.00003642499,0.0001033466,0.00009399404,0.004422883,0.07049176,0.0001987148,0.001013579,0.002147886,0.00001461735],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9984123,0.00002460088,0.0003080524,0.00009910921,0.00000134137,0.00001669168,0.0003722951,0.000002490125,0.0007631736],"genre_scores_gemma":[0.9978103,0.00007294129,0.0007203841,0.00001315949,0.000004233013,0.00004744828,0.0007321158,0.000001394209,0.0005980829],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1809059,"threshold_uncertainty_score":0.3597059,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.07382513330977883,"score_gpt":0.2463933742181278,"score_spread":0.1725682409083489,"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."}}