{"id":"W1501030095","doi":"","title":"Risk preference, ambiguity aversion and technology choice: Experimental and survey evidence from rural peru","year":2006,"lang":"en","type":"article","venue":"Artefactual Field Experiments","topic":"Economic and Environmental Valuation","field":"Economics, Econometrics and Finance","cited_by":6,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University","funders":"","keywords":"Ambiguity; Preference; Ambiguity aversion; Survey data collection; Risk aversion (psychology); Economics; Ambiguity tolerance; Econometrics; Expected utility hypothesis; Microeconomics; Computer science; Statistics; Financial economics; Mathematics","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":[0.004287797,0.0004067185,0.0004272103,0.0006946212,0.0005494103,0.0009020925,0.0005386947,0.0008800376,0.002932409],"category_scores_gemma":[0.01747129,0.0002945297,0.0003159645,0.001277665,0.001158363,0.0009797137,0.0008685762,0.0006355385,0.0003660706],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002849805,"about_ca_system_score_gemma":0.0001590675,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003222936,"about_ca_topic_score_gemma":0.004245049,"domain_scores_codex":[0.9980062,0.001628322,0.00005692631,0.0001377487,0.0001082235,0.00006269656],"domain_scores_gemma":[0.9561768,0.03122233,0.008804865,0.002703355,0.0006776681,0.0004149863],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.002129139,0.006180293,0.9471359,0.0003202524,0.0007062091,0.0004257707,0.0063298,0.00476138,0.005027595,0.002048285,0.000604427,0.02433094],"study_design_scores_gemma":[0.0004576107,0.004221222,0.9682138,0.00006239773,0.0003228068,0.000349104,0.004615914,0.01052115,0.002207832,0.007056192,0.001905946,0.00006614177],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9989567,0.00007414155,0.0004285939,0.00005842865,7.386221e-7,0.000008534579,0.00004826116,0.000003066603,0.0004216078],"genre_scores_gemma":[0.9988135,0.0001703088,0.0005227688,0.00003707704,0.000004842497,0.00003204417,0.0001755791,0.000001873082,0.0002419288],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.004287797,"threshold_uncertainty_score":0.02267629,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0993892422762673,"score_gpt":0.252248546000003,"score_spread":0.1528593037237357,"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."}}