{"id":"W2180398075","doi":"10.1093/ajae/aav037","title":"The Demonstration and Capture of the Value of an Ecosystem Service: A Quasi‐Experimental Hedonic Property Analysis","year":2015,"lang":"en","type":"article","venue":"American Journal of Agricultural Economics","topic":"Economic and Environmental Valuation","field":"Economics, Econometrics and Finance","cited_by":12,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Alberta","funders":"Alberta Water Research Institute","keywords":"Ecosystem services; Irrigation; Revenue; Service (business); Ecosystem; Agency (philosophy); Business; Environmental resource management; Environmental science; Offset (computer science); Property value; Environmental economics; Natural resource economics; Computer science; Economics; Ecology; Finance; Marketing","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006805337,0.0001190298,0.0004797725,0.00006007044,0.00008052618,0.00003991858,0.0002800149,0.00004009859,0.00000748674],"category_scores_gemma":[0.00002015443,0.0000608857,0.0001814596,0.0002095053,0.000128922,0.0003751919,0.00004892112,0.0001044804,0.000003520544],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002138422,"about_ca_system_score_gemma":0.00004198249,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0005430559,"about_ca_topic_score_gemma":0.0004727186,"domain_scores_codex":[0.9987172,0.00006437989,0.0009143435,0.0001476036,0.00003753153,0.000118956],"domain_scores_gemma":[0.9975522,0.00003835171,0.002078269,0.000183173,0.00005405848,0.00009390715],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0002901608,0.0008273317,0.7539912,0.00005139588,0.00309202,7.728507e-7,0.01185061,0.1893945,0.001336611,0.03492514,0.0001956565,0.004044567],"study_design_scores_gemma":[0.001060838,0.001298869,0.9450713,0.00002420524,0.0002477989,0.00009963733,0.0280993,0.02076594,0.001744197,0.0008629902,0.0004227418,0.0003021206],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9979433,0.0005686196,0.0000314715,0.0008836188,0.0001495915,0.0001268437,0.00004134424,0.000001877673,0.000253314],"genre_scores_gemma":[0.9993312,0.0001546964,0.0003672261,0.00005455902,0.00004713157,0.000002852482,0.000005529914,0.000006568302,0.00003028007],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1910801,"threshold_uncertainty_score":0.2482847,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02931285548190395,"score_gpt":0.1980683419705911,"score_spread":0.1687554864886872,"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."}}