{"id":"W4387816667","doi":"10.36253/bae-13534","title":"Incorporating expert knowledge in the estimate of farmers’ opportunity cost of supplying environmental services in rural Cameroon","year":2023,"lang":"en","type":"article","venue":"Bio-based and Applied Economics","topic":"Economic and Environmental Valuation","field":"Economics, Econometrics and Finance","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"Collège Boréal","funders":"","keywords":"Tobit model; Socioeconomic status; Willingness to pay; Opportunity cost; Disconnection; Environmental economics; Educational attainment; Business; Public economics; Economics; Economic growth; Econometrics; Microeconomics; Environmental health; Political science","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":[0.004391603,0.0004469161,0.0004368579,0.001964451,0.0002782625,0.001252122,0.0004762487,0.0008581693,0.002577318],"category_scores_gemma":[0.01725467,0.0003403023,0.0004599986,0.001404257,0.0004298505,0.001338979,0.0007073568,0.0005325025,0.0001571856],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001641276,"about_ca_system_score_gemma":0.001096722,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.03589056,"about_ca_topic_score_gemma":0.03137518,"domain_scores_codex":[0.9983967,0.001003647,0.00007364944,0.0001514825,0.000177471,0.0001970159],"domain_scores_gemma":[0.9852712,0.01260606,0.001335662,0.0002319189,0.000406859,0.0001482035],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"observational","study_design_scores_codex":[0.0003355925,0.0001676634,0.2734855,0.0001648378,0.00029891,0.0008418811,0.0003922632,0.657631,0.0006663894,0.008428021,0.0005619774,0.05702587],"study_design_scores_gemma":[0.00003010091,0.0001532883,0.1587747,0.0001811845,0.0001148319,0.00036364,0.001069443,0.8254275,0.0006694131,0.01158926,0.001548844,0.00007789704],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9565576,0.000464075,0.0377746,0.000678272,0.00001276825,0.00006011062,0.0005560141,0.0000213077,0.003875366],"genre_scores_gemma":[0.9944177,0.0001803156,0.004820234,0.0000315246,0.00000610215,0.0000163511,0.0001581087,0.000002055868,0.0003676786],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.03589056,"threshold_uncertainty_score":0.07136327,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.07367230056546602,"score_gpt":0.23764889935753,"score_spread":0.163976598792064,"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."}}