{"id":"W1806059501","doi":"10.1002/bdm.1863","title":"When Does Framing Influence Preferences, Risk Perceptions, and Risk Attitudes? The Explicated Valence Account","year":2015,"lang":"en","type":"article","venue":"Journal of Behavioral Decision Making","topic":"Decision-Making and Behavioral Economics","field":"Decision Sciences","cited_by":42,"is_retracted":false,"has_abstract":true,"ca_institutions":"York University; Defence Research and Development Canada","funders":"York University; Government of Canada; Defence Research and Development Canada","keywords":"Framing effect; Framing (construction); Prospect theory; Risk perception; Perception; Risk-seeking; Psychology; Valence (chemistry); Social psychology; Economics; Loss aversion; Positive economics; Microeconomics; Engineering; Chemistry","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["scholarly_communication"],"consensus_categories":[],"category_scores_codex":[0.01141169,0.0003866947,0.0007661293,0.0006660608,0.000716005,0.001943728,0.00240771,0.0002567957,0.000284278],"category_scores_gemma":[0.00653951,0.0001982554,0.0003252428,0.0007019136,0.0003667971,0.002187063,0.0007273781,0.001241721,0.0001632911],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002243068,"about_ca_system_score_gemma":0.0002676029,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002278347,"about_ca_topic_score_gemma":0.0002883,"domain_scores_codex":[0.9928395,0.0006558561,0.002480697,0.0007230158,0.002849667,0.0004512307],"domain_scores_gemma":[0.9894738,0.003638285,0.003297805,0.001160214,0.002025019,0.0004048502],"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":[0.0001335503,0.0001032888,0.4292388,8.982191e-7,0.00000922106,0.00002541912,0.001366412,0.001332737,0.00005840163,0.000007275555,0.00152854,0.5661955],"study_design_scores_gemma":[0.001026041,0.0005800709,0.7838513,0.0005248127,0.0003351894,0.0004373509,0.008365598,0.001709353,0.00003289393,0.195763,0.006839468,0.0005348985],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9875091,0.0007047849,0.01014256,0.0001144029,0.001158216,0.0002330332,0.00006821042,0.00003212169,0.00003761252],"genre_scores_gemma":[0.9729902,0.0007183229,0.02591477,0.00008950238,0.0002016994,0.000007955903,6.711072e-7,0.00002823317,0.0000486826],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.5656606,"threshold_uncertainty_score":0.9990923,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1262111218641538,"score_gpt":0.4200131924037594,"score_spread":0.2938020705396056,"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."}}