{"id":"W2121845153","doi":"10.1016/j.cogsys.2007.11.001","title":"Neural affective decision theory: Choices, brains, and emotions","year":2008,"lang":"en","type":"article","venue":"Cognitive Systems Research","topic":"Neural and Behavioral Psychology Studies","field":"Neuroscience","cited_by":95,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Waterloo","funders":"","keywords":"Counterfactual thinking; Valuation (finance); Psychology; Affect (linguistics); Framing effect; Cognitive psychology; Neuroeconomics; Pleasure; Prospect theory; Loss aversion; Cognition; Framing (construction); Social psychology; Neuroscience; Microeconomics; 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":["sts"],"consensus_categories":[],"category_scores_codex":[0.0008505724,0.000167966,0.000240001,0.0002826112,0.001421733,0.0000735477,0.000200903,0.0000880189,0.00002891556],"category_scores_gemma":[0.00277833,0.0001243707,0.00005169578,0.0006764026,0.001611724,0.0002410922,0.0002680406,0.0005758363,0.0002654953],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003540542,"about_ca_system_score_gemma":0.00002872836,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00006915465,"about_ca_topic_score_gemma":0.00001666932,"domain_scores_codex":[0.9962329,0.001731947,0.0001895959,0.0007081186,0.0006018996,0.0005355534],"domain_scores_gemma":[0.995236,0.004034546,0.0000471863,0.0001747684,0.0003484193,0.0001591024],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","study_design_scores_codex":[0.001818779,0.001552692,0.1115836,0.0001935281,0.00008994367,0.003543465,0.005880417,0.000004744109,0.6667832,0.006761567,0.01459342,0.1871947],"study_design_scores_gemma":[0.00608756,0.003541618,0.8797036,0.0008657011,0.00006189801,0.003998119,0.008226048,0.0004280027,0.08370041,0.005457126,0.006668949,0.001260996],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9898955,0.0007212636,0.00011273,0.0001883843,0.0004269249,0.0009172807,0.00006069328,0.00007692708,0.00760025],"genre_scores_gemma":[0.9953156,0.0002904757,0.000003690646,0.0001308777,0.0001603255,0.000134969,0.000002154852,0.00001892499,0.003942952],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.76812,"threshold_uncertainty_score":0.9998783,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.3936987152713053,"score_gpt":0.4888481281584921,"score_spread":0.09514941288718676,"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."}}