{"id":"W4290617535","doi":"10.1111/caje.12615","title":"Asset integration and risk‐taking in the laboratory","year":2022,"lang":"en","type":"article","venue":"Canadian Journal of Economics/Revue canadienne d économique","topic":"Decision-Making and Behavioral Economics","field":"Decision Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Calgary; Wilfrid Laurier University","funders":"","keywords":"Expected utility hypothesis; Preference; Risk aversion (psychology); Asset (computer security); Prospect theory; Cash; Economics; Loss aversion; Experimental economics; Rank (graph theory); Task (project management); Econometrics; Microeconomics; Actuarial science; Financial economics; Computer science; Finance; Mathematics","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":true,"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":[0.003024855,0.0008413194,0.000696619,0.0002778288,0.0005605515,0.001973937,0.0009914973,0.00101598,0.005694672],"category_scores_gemma":[0.009530179,0.0004524922,0.000314248,0.0002109299,0.001613257,0.001014171,0.001442937,0.001615165,0.0005904335],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005532127,"about_ca_system_score_gemma":0.000658914,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003487283,"about_ca_topic_score_gemma":0.0002753678,"domain_scores_codex":[0.9978408,0.0009995336,0.0001206505,0.0004658609,0.0003820788,0.0001911635],"domain_scores_gemma":[0.990674,0.003865631,0.002460994,0.001448663,0.0002609087,0.001289844],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.0309122,0.08649659,0.08249046,0.001141345,0.0006082522,0.001299835,0.004295547,0.009639675,0.6326082,0.03721028,0.004343444,0.1089542],"study_design_scores_gemma":[0.01095334,0.1596401,0.2401275,0.0005506214,0.001238684,0.00233435,0.002585788,0.05297798,0.3768202,0.1189189,0.03277814,0.001074398],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9915375,0.0001494029,0.004172808,0.0002251134,0.00003884783,0.0001410347,0.00009269542,0.00008150207,0.003561148],"genre_scores_gemma":[0.9890343,0.0001326094,0.00819348,0.0002104275,0.00002921447,0.0004828555,0.0001035821,0.00002566036,0.001787907],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.005694672,"threshold_uncertainty_score":0.01905054,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.2811639811675608,"score_gpt":0.2764366426569144,"score_spread":0.004727338510646384,"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."}}