{"id":"W2006176202","doi":"10.1016/j.jenvman.2013.05.043","title":"Using choice experiments to understand household tradeoffs regarding pineapple production and environmental management in Costa Rica","year":2013,"lang":"en","type":"article","venue":"Journal of Environmental Management","topic":"Economic and Environmental Valuation","field":"Economics, Econometrics and Finance","cited_by":10,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Calgary","funders":"National Science Foundation","keywords":"Production (economics); Context (archaeology); Welfare; Order (exchange); Environmental economics; Business; Environmental resource management; Economics; Natural resource economics; Geography","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":[0.00358671,0.0003525048,0.0003563569,0.0003216242,0.0005189056,0.0008313618,0.0006335658,0.0009231899,0.001069334],"category_scores_gemma":[0.007088175,0.00021802,0.0003745231,0.0004698663,0.001144846,0.0006149758,0.0005390718,0.00058887,0.0001012322],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002267035,"about_ca_system_score_gemma":0.0007219108,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0539395,"about_ca_topic_score_gemma":0.07762983,"domain_scores_codex":[0.9985891,0.001168599,0.00002810866,0.00009707987,0.00003745537,0.00007956398],"domain_scores_gemma":[0.9926304,0.005598953,0.0008250643,0.0006330743,0.0001123951,0.0002000691],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.008145786,0.01250149,0.8468469,0.0002483274,0.001638847,0.0007044848,0.01085696,0.04845942,0.01866136,0.01331068,0.00120714,0.03741853],"study_design_scores_gemma":[0.0005563953,0.001953758,0.8966639,0.00003692711,0.0003148194,0.000106659,0.006936094,0.08179612,0.002277051,0.007538086,0.001757642,0.00006256349],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9994857,0.00002194831,0.0001565582,0.00004534422,5.19115e-7,0.000009756775,0.00002140198,0.000001470859,0.0002572229],"genre_scores_gemma":[0.9993908,0.00003189642,0.0003287242,0.00002472776,8.401792e-7,0.00003204282,0.00003661908,0.000001007305,0.000153228],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0539395,"threshold_uncertainty_score":0.107251,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1235155455372358,"score_gpt":0.2283587141613929,"score_spread":0.1048431686241571,"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."}}