{"id":"W4380905653","doi":"10.2139/ssrn.4481866","title":"How Farmer Preferences and Climate Change Beliefs Shape Bmp Adoption: A Best-Worst Scaling Approach","year":2023,"lang":"en","type":"preprint","venue":"SSRN Electronic Journal","topic":"Agricultural Innovations and Practices","field":"Agricultural and Biological Sciences","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Alberta","funders":"","keywords":"Scaling; Climate change; Environmental economics; Marketing; Business; Environmental resource management; Microeconomics; Economics; Mathematics; Ecology","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":[0.008276027,0.0008269512,0.001398196,0.001155204,0.001013322,0.004427699,0.001661884,0.002123468,0.008247612],"category_scores_gemma":[0.03207195,0.0007327156,0.001989296,0.001344023,0.002702007,0.004301961,0.002029891,0.002585971,0.0004383422],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001345053,"about_ca_system_score_gemma":0.0005200615,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00549458,"about_ca_topic_score_gemma":0.005868323,"domain_scores_codex":[0.9962617,0.002091753,0.0001588775,0.0008838032,0.0003694639,0.0002343809],"domain_scores_gemma":[0.9797578,0.01505329,0.001487722,0.002532662,0.0007685884,0.0003998983],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.002063853,0.001514585,0.3658796,0.0008471595,0.00579872,0.0009900512,0.006169309,0.2467587,0.009168358,0.2039586,0.006941791,0.1499094],"study_design_scores_gemma":[0.0001121383,0.0004604463,0.1212921,0.00008276291,0.0009973807,0.0002186996,0.005196634,0.4514486,0.001604264,0.4130633,0.005330101,0.0001936075],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8755391,0.0007975397,0.09557493,0.004690296,0.0002147729,0.0002052477,0.00083351,0.0001816362,0.02196302],"genre_scores_gemma":[0.9916682,0.00008126545,0.006840073,0.0001746427,0.00003969519,0.00005148485,0.0001117214,0.00003049818,0.001002317],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.008276027,"threshold_uncertainty_score":0.04376835,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1009119456583797,"score_gpt":0.2722670222422096,"score_spread":0.1713550765838298,"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."}}