{"id":"W2072410854","doi":"10.1016/j.landusepol.2013.09.007","title":"Irrigator preferences for water recovery budget expenditure in the Murray-Darling Basin, Australia","year":2013,"lang":"en","type":"article","venue":"Land Use Policy","topic":"Economic and Environmental Valuation","field":"Economics, Econometrics and Finance","cited_by":39,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Lethbridge; University of Alberta","funders":"Australian Research Council; Commonwealth Scientific and Industrial Research Organisation; University of Lethbridge; National Climate Change Adaptation Research Facility; U.S. Department of Energy","keywords":"Entitlement (fair division); Economics; Purchasing; Agricultural economics; Preference; Natural resource economics; Business; Microeconomics; Operations management","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001057358,0.00008292876,0.000276691,0.0003081785,0.0006268462,0.001661133,0.0003068208,0.0007386854,0.004320813],"category_scores_gemma":[0.005204678,0.0002136279,0.000248398,0.0004855592,0.0006383967,0.0007321443,0.0008199778,0.0007702248,0.0001964915],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.004699804,"about_ca_system_score_gemma":0.002046213,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.1993515,"about_ca_topic_score_gemma":0.4968891,"domain_scores_codex":[0.999271,0.0003196529,0.00003531299,0.00005614004,0.00008545748,0.0002325316],"domain_scores_gemma":[0.9974291,0.001113728,0.0005701149,0.0000563146,0.0002750118,0.0005556811],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.001439612,0.0008167982,0.8637846,0.0001793798,0.0004122292,0.001724453,0.01248061,0.03409455,0.0042125,0.04081039,0.006724315,0.03332063],"study_design_scores_gemma":[0.00003453525,0.0001500778,0.9663639,0.00002677176,0.00005272299,0.0001120181,0.009836382,0.015878,0.0002227308,0.0031354,0.004157305,0.0000300024],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.994932,0.00005100277,0.00007400929,0.0006694723,0.000001771768,0.000007265867,0.0000591975,0.000001310051,0.004203945],"genre_scores_gemma":[0.9980991,0.00004136084,0.00004780809,0.00006063414,0.000001940401,0.000004177388,0.00002825882,0.000001455878,0.001715215],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1993515,"threshold_uncertainty_score":0.3963823,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1482667934137834,"score_gpt":0.2621831302976894,"score_spread":0.113916336883906,"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."}}