{"id":"W2134645122","doi":"10.1002/bdm.1763","title":"The Effect of Temporal Distance on Attitudes toward Imprecise Probabilities and Imprecise Outcomes","year":2012,"lang":"en","type":"article","venue":"Journal of Behavioral Decision Making","topic":"Decision-Making and Behavioral Economics","field":"Decision Sciences","cited_by":48,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Waterloo","funders":"","keywords":"Ambiguity; Salience (neuroscience); Construal level theory; Outcome (game theory); Ambiguity aversion; Dimension (graph theory); Psychology; Subjective expected utility; Social psychology; Econometrics; Computer science; Expected utility hypothesis; Cognitive psychology; Mathematics; Statistics; Mathematical economics","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":[0.01065343,0.0004240856,0.001247926,0.0005319155,0.0003894856,0.0006564214,0.001433988,0.0001944853,0.00008562748],"category_scores_gemma":[0.004419752,0.0002132901,0.0007019969,0.0004790456,0.0003996348,0.001230373,0.000414658,0.0005606789,0.00003300417],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001719588,"about_ca_system_score_gemma":0.00007636764,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001217587,"about_ca_topic_score_gemma":0.00002704403,"domain_scores_codex":[0.9933597,0.0004732071,0.002755813,0.0004214831,0.002423795,0.0005660182],"domain_scores_gemma":[0.9833494,0.01253083,0.00228768,0.0009256006,0.0005950704,0.0003114469],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"observational","study_design_scores_codex":[0.0007773843,0.0001277205,0.4586644,0.000004707054,0.00001082036,0.00001106071,0.0003024074,0.00004944053,0.00008088354,0.00006757002,0.0004982547,0.5394053],"study_design_scores_gemma":[0.002969097,0.005255759,0.93788,0.001137379,0.0003203821,0.0003606432,0.001922298,0.0001758932,0.001487404,0.0392931,0.008373215,0.0008248264],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9944068,0.001210575,0.001288744,0.0001184075,0.002509537,0.0003286038,0.00002847584,0.00001570602,0.00009321957],"genre_scores_gemma":[0.9956418,0.00006130911,0.003962993,0.00002893751,0.0001666652,0.000008916002,3.499596e-7,0.00003288893,0.00009611803],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.5385805,"threshold_uncertainty_score":0.8697717,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.08945839551006228,"score_gpt":0.4362293446541526,"score_spread":0.3467709491440903,"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."}}