{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000177748,0.0001584255,0.0002348404,0.00008660441,0.0001618214,0.00005678214,0.0001124735,0.0001535181,0.0008292157],"category_scores_gemma":[0.00007594784,0.000182513,0.00002605274,0.00005508243,0.00009198666,0.0003789386,0.0001511837,0.0001268578,0.0002006349],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00007361274,"about_ca_system_score_gemma":0.00000422973,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0127351,"about_ca_topic_score_gemma":0.0001327048,"domain_scores_codex":[0.9990074,0.00002743315,0.0003279928,0.0004010501,0.0000363019,0.0001998134],"domain_scores_gemma":[0.999415,0.0001422706,0.0001621363,0.0002153962,0.000005933643,0.00005921927],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00001710262,0.0000560991,0.9951115,0.000001619113,0.00001665857,3.694539e-7,0.0004581047,0.000002428525,0.002900912,0.0003417022,0.0005511518,0.000542383],"study_design_scores_gemma":[0.0006197104,0.0001857062,0.9644119,0.00001429379,0.000004298321,9.355791e-7,0.0005532464,0.0005025736,0.03117268,0.00207697,0.0002365291,0.0002211859],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9943199,0.004047736,0.0001591915,0.0001173684,0.0001749061,0.0001600505,0.0000784888,0.00002953124,0.0009128648],"genre_scores_gemma":[0.998925,0.0003902182,0.0002082443,0.00008673144,0.00004732359,0.00002212957,0.00004745616,0.00001138196,0.0002615057],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0306996,"threshold_uncertainty_score":0.9938392,"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."}}