{"id":"W2964262527","doi":"10.1007/s00780-019-00393-4","title":"Distributional compatibility for change of measures","year":2019,"lang":"en","type":"article","venue":"Finance and Stochastics","topic":"Risk and Portfolio Optimization","field":"Decision Sciences","cited_by":12,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Waterloo","funders":"","keywords":"Mathematics; Uncountable set; Random variable; Combinatorics; Probability measure; Probability distribution; Regular polygon; Discrete mathematics; Statistics; Geometry","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":[0.0005243012,0.00005167489,0.0001612723,0.00003541523,0.00004626555,0.00001708662,0.0001037757,0.00003693735,0.00001625627],"category_scores_gemma":[0.0003833642,0.00003906784,0.00003645162,0.0001395197,0.00005156218,0.00009606402,0.0000228057,0.00002723854,0.000009875444],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000005398414,"about_ca_system_score_gemma":0.00002530685,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000008458051,"about_ca_topic_score_gemma":0.00000583611,"domain_scores_codex":[0.9991962,0.00001402764,0.0002419351,0.0001636078,0.0002971528,0.00008704488],"domain_scores_gemma":[0.9990172,0.0003269198,0.0001374851,0.0001746432,0.0003242867,0.00001950667],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0004366094,0.0002019277,0.5511076,0.00003898334,0.00001782596,5.241657e-7,0.001475265,0.01144878,0.0001978509,0.2235322,0.007397514,0.2041449],"study_design_scores_gemma":[0.000851114,0.0003860626,0.7538043,0.00003026863,0.00001381504,0.000001651353,0.0001339139,0.1309646,0.0002812957,0.05481793,0.0585271,0.000188027],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.5564589,0.0002130131,0.4421843,0.0001065758,0.000208974,0.0002819203,0.0003519517,0.000004381853,0.000189972],"genre_scores_gemma":[0.9974195,0.0000683861,0.002215723,0.00002736492,0.00004429911,0.0000122675,0.00002710993,0.000002202567,0.0001831141],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4409606,"threshold_uncertainty_score":0.159314,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1451895757236319,"score_gpt":0.3809727150487657,"score_spread":0.2357831393251338,"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."}}