{"id":"W2041968597","doi":"10.1177/0272989x0002000404","title":"Decision Analysis with Cumulative Prospect Theory","year":2000,"lang":"en","type":"article","venue":"Medical Decision Making","topic":"Health Systems, Economic Evaluations, Quality of Life","field":"Economics, Econometrics and Finance","cited_by":17,"is_retracted":false,"has_abstract":true,"ca_institutions":"St. Michael's Hospital","funders":"","keywords":"Cumulative prospect theory; Weighting; Prospect theory; Decision analysis; Markov chain; Expected utility hypothesis; Decision theory; Sensitivity (control systems); Statistics; Econometrics; Markov model; Mathematics; Markov process; Economics; Medicine","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":["metaresearch","insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.0241742,0.0002460289,0.001247633,0.0006788771,0.000299124,0.0001275116,0.0005203214,0.0002420454,0.04400672],"category_scores_gemma":[0.009545419,0.0002237959,0.0002494615,0.001207117,0.0001415596,0.0003855646,0.00006997424,0.0003314394,0.004492322],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003446679,"about_ca_system_score_gemma":0.0001348361,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00007058755,"about_ca_topic_score_gemma":0.000190634,"domain_scores_codex":[0.9940987,0.000367438,0.003561336,0.0008724747,0.0006177717,0.0004823048],"domain_scores_gemma":[0.9911049,0.006716523,0.0009836827,0.0007681285,0.00006737937,0.0003593753],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.001068901,0.000454236,0.1586237,0.00009671771,0.001281504,0.00009318518,0.003490194,0.01221551,2.783233e-7,0.25533,0.01901885,0.5483269],"study_design_scores_gemma":[0.002739804,0.0003316782,0.2115599,0.001011163,0.0001456144,0.0000374585,0.0005075323,0.1732618,0.000001566902,0.5249607,0.08446354,0.0009792651],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.4457836,0.001083645,0.5290768,0.003305108,0.0002848082,0.0005073864,0.00005474104,0.0001012739,0.01980274],"genre_scores_gemma":[0.9585341,0.0001072685,0.03097797,0.008794433,0.0002926658,0.00005240154,0.00001543766,0.00003972012,0.001186033],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.5473476,"threshold_uncertainty_score":0.9987976,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1901834599547058,"score_gpt":0.4581413793715305,"score_spread":0.2679579194168248,"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."}}