{"id":"W2945905208","doi":"","title":"Per-Decision Option Discounting","year":2019,"lang":"en","type":"article","venue":"International Conference on Machine Learning","topic":"Capital Investment and Risk Analysis","field":"Economics, Econometrics and Finance","cited_by":4,"is_retracted":false,"has_abstract":false,"ca_institutions":"McGill University","funders":"","keywords":"Discounting; Computer science; Economics; Actuarial science; Finance","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":["insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.0002738867,0.0001155506,0.0001874067,0.0002767013,0.00006763988,0.0001865325,0.0002254981,0.00005010855,0.008506565],"category_scores_gemma":[0.00008105195,0.0001148738,0.000117488,0.00008606433,0.00001779579,0.0002648426,0.00006360898,0.0002718444,0.007564342],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00007428921,"about_ca_system_score_gemma":0.000006823447,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000247395,"about_ca_topic_score_gemma":0.00001889191,"domain_scores_codex":[0.9991111,0.00001201422,0.0003223753,0.0003226144,0.00009429632,0.0001376604],"domain_scores_gemma":[0.9995066,0.00004353464,0.0002346869,0.0001314902,0.00004690304,0.0000368129],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00002329582,0.00002985624,0.1061988,0.000002612892,0.00003655489,0.000001107664,0.0001356296,0.002136349,0.0002488503,0.8893042,0.00002263001,0.001860151],"study_design_scores_gemma":[0.0006218236,0.0001276067,0.03683931,0.00005617816,0.000005861836,0.000002247354,0.0001871384,0.8190229,0.00005320273,0.1153473,0.02742288,0.0003135025],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8594552,0.000492635,0.002528334,0.001217014,0.0007212468,0.00008308177,0.00002198167,0.00004914617,0.1354314],"genre_scores_gemma":[0.9852983,0.0003995729,0.0004890535,0.0001569804,0.00009191606,0.000004799695,0.00009678069,0.00001394243,0.01344866],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.8168865,"threshold_uncertainty_score":0.9932084,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03633236734184508,"score_gpt":0.268060368437167,"score_spread":0.2317280010953219,"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."}}