{"id":"W2559814717","doi":"10.1111/cjag.12129","title":"Sustainable Urban Landscaping: Consumer Preferences and Willingness to Pay for Turfgrass Fertilizers","year":2016,"lang":"en","type":"article","venue":"Canadian Journal of Agricultural Economics/Revue canadienne d agroeconomie","topic":"Economic and Environmental Valuation","field":"Economics, Econometrics and Finance","cited_by":28,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Landscaping; Lawn; Willingness to pay; Business; Fertilizer; Ecosystem services; Agricultural science; Economics; Environmental science; Ecosystem; Ecology","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":[0.0004695173,0.0001080931,0.000100636,0.0002498594,0.0002347237,0.0006854375,0.0000943016,0.000436985,0.004040771],"category_scores_gemma":[0.001093902,0.00009361521,0.0003390032,0.0002161678,0.0002718476,0.0003337191,0.0001630239,0.0003137941,0.0002444569],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002673632,"about_ca_system_score_gemma":0.0001231123,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005760154,"about_ca_topic_score_gemma":0.01269748,"domain_scores_codex":[0.9998268,0.00006194203,0.000009990141,0.00002938563,0.00004489854,0.00002695816],"domain_scores_gemma":[0.99921,0.0002948994,0.0002805145,0.00003681493,0.0000649568,0.0001127757],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0003202569,0.0008169308,0.9864096,0.00002493177,0.00007570871,0.0001510287,0.001897424,0.0002353438,0.002464516,0.0001835058,0.0002281324,0.007192599],"study_design_scores_gemma":[0.000009934256,0.0002526894,0.9948466,0.000006395146,0.00001578191,0.0000743144,0.003326431,0.00074107,0.0002556847,0.0001121753,0.0003493897,0.000009520774],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9996082,0.000007822078,0.00001956877,0.00001816651,4.074446e-7,0.000001743613,0.00001468819,3.994032e-7,0.0003291465],"genre_scores_gemma":[0.9996061,0.00001217441,0.00005663539,0.00001965557,7.898345e-7,0.000002659818,0.00002966507,3.700066e-7,0.0002719248],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.9942399,"threshold_uncertainty_score":0.01351774,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05544304329667996,"score_gpt":0.168009995458921,"score_spread":0.1125669521622411,"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."}}