{"id":"W2945104486","doi":"10.1257/aeri.20190051","title":"The Relation between Behavior under Risk and over Time","year":2020,"lang":"en","type":"article","venue":"American Economic Review Insights","topic":"Decision-Making and Behavioral Economics","field":"Decision Sciences","cited_by":24,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"National Science Foundation","keywords":"Economics; Relation (database); Consumption (sociology); Certainty; Mathematical economics; Decision maker; Econometrics; Expected utility hypothesis; Microeconomics; Subjective expected utility; Mathematics; Computer 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":[0.005037167,0.0002117081,0.0003885016,0.0008816688,0.0003099653,0.00213206,0.0005103759,0.0009724781,0.003848049],"category_scores_gemma":[0.05139538,0.0001988387,0.0004321494,0.000964401,0.002415148,0.002907372,0.0009992108,0.001560238,0.0002806414],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0009671251,"about_ca_system_score_gemma":0.0004231681,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001685028,"about_ca_topic_score_gemma":0.001043411,"domain_scores_codex":[0.9974847,0.001021152,0.0001855145,0.0006618534,0.000459462,0.0001872689],"domain_scores_gemma":[0.9435941,0.03707504,0.01265965,0.003636404,0.001957137,0.001077643],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.000700991,0.0002559788,0.1939864,0.0004020935,0.0004944762,0.0004307876,0.002401544,0.02565648,0.004868063,0.6022328,0.00101795,0.1675524],"study_design_scores_gemma":[0.00005273595,0.0004705336,0.2297065,0.0001061342,0.0002279637,0.000828394,0.0009001672,0.0346588,0.001649927,0.7254889,0.005793983,0.0001160094],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7964837,0.003224325,0.1598647,0.004296113,0.0001387651,0.000101421,0.0005410456,0.0001287379,0.03522116],"genre_scores_gemma":[0.9909797,0.0007015222,0.006720969,0.000169158,0.00006126168,0.00002562112,0.00008303508,0.00001477927,0.001243824],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.005037167,"threshold_uncertainty_score":0.02663946,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.09454115975625091,"score_gpt":0.3765547422985608,"score_spread":0.2820135825423099,"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."}}