{"id":"W1488103917","doi":"10.1023/a:1011132102314","title":"Ranked-Weighted Utilities and Qualitative Convolution","year":2001,"lang":"en","type":"article","venue":"Journal of Risk and Uncertainty","topic":"Decision-Making and Behavioral Economics","field":"Decision Sciences","cited_by":24,"is_retracted":false,"has_abstract":false,"ca_institutions":"McGill University","funders":"","keywords":"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":[0.00433034,0.0001106986,0.0003768495,0.0002504796,0.0001887778,0.0002069968,0.0001828341,0.00007274873,0.0001278651],"category_scores_gemma":[0.001801183,0.00006860326,0.0001046738,0.0002034903,0.0002302381,0.0004004335,0.00004767672,0.0002161311,0.00001153462],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003681948,"about_ca_system_score_gemma":0.00005722175,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001394046,"about_ca_topic_score_gemma":0.00008306941,"domain_scores_codex":[0.9980659,0.0003590953,0.0007846686,0.0001853084,0.0004587878,0.0001462459],"domain_scores_gemma":[0.9959093,0.002616266,0.0006901652,0.0001467426,0.0004886781,0.0001488343],"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":[0.0006465075,0.00006405968,0.02966338,0.000001725964,0.00003153202,0.00003374272,0.01350687,0.0001003526,0.00003255211,0.001186904,0.002992084,0.9517403],"study_design_scores_gemma":[0.00202938,0.0005139456,0.04675207,0.00006792225,0.00008890435,0.0004416422,0.06521048,0.004452981,0.00002476242,0.8078194,0.07235161,0.0002469202],"study_design_candidate":"design_other","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9952695,0.00150528,0.001999767,0.0003615379,0.0003499893,0.00004129892,0.00002299722,0.000005704487,0.0004439275],"genre_scores_gemma":[0.9971195,0.001624325,0.0008756726,0.00006430666,0.0001017959,4.227807e-7,5.62521e-7,0.000004300903,0.0002091197],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.9514934,"threshold_uncertainty_score":0.279756,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1099767490026696,"score_gpt":0.4204663498269124,"score_spread":0.3104896008242428,"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."}}