{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.003722817,0.0002378365,0.0002779713,0.0004173405,0.0004195725,0.002174268,0.0002863041,0.0007930041,0.0054551],"category_scores_gemma":[0.0271322,0.0002323031,0.0003336253,0.0003444996,0.001024702,0.001058504,0.0009210062,0.001361257,0.0002091025],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004149029,"about_ca_system_score_gemma":0.0002524656,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0007319399,"about_ca_topic_score_gemma":0.0008425271,"domain_scores_codex":[0.9978064,0.001229757,0.0001210375,0.0001938739,0.0005417345,0.0001072057],"domain_scores_gemma":[0.9578434,0.02966007,0.007507287,0.001855894,0.001026529,0.002106851],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.01745948,0.007719609,0.7210504,0.0007434443,0.001105779,0.00148411,0.02225584,0.01724548,0.05777165,0.04032835,0.001496238,0.1113395],"study_design_scores_gemma":[0.000528824,0.005656433,0.9054925,0.0001739848,0.0005205434,0.0007859233,0.008639412,0.02494257,0.006653164,0.04247958,0.003909526,0.0002174939],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9957438,0.00007013859,0.0007536432,0.0001098655,0.000009530207,0.000006695681,0.000009526434,0.000002940656,0.003293813],"genre_scores_gemma":[0.9991856,0.0000493992,0.0004491605,0.00003620708,0.000007196056,0.00000574673,0.00001133077,0.000002276241,0.000253055],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0054551,"threshold_uncertainty_score":0.01968837,"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."}}