{"id":"W4409319627","doi":"10.1142/9789819809950_0025","title":"Generalized Information Ratio and Simulation Results","year":2025,"lang":"en","type":"book-chapter","venue":"WORLD SCIENTIFIC eBooks","topic":"Forecasting Techniques and Applications","field":"Decision Sciences","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"Brock University","funders":"","keywords":"Computer science; Mathematics","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.004125741,0.0009084036,0.001248981,0.001524775,0.0003684208,0.001665451,0.001417799,0.001305228,0.01111311],"category_scores_gemma":[0.03701054,0.0003884159,0.001061253,0.00248718,0.00113254,0.003149596,0.0007807639,0.001766847,0.001332924],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00114317,"about_ca_system_score_gemma":0.0006101877,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003536049,"about_ca_topic_score_gemma":0.001685591,"domain_scores_codex":[0.9979066,0.001536125,0.00004760397,0.0001228782,0.0002912612,0.00009562877],"domain_scores_gemma":[0.9793292,0.01845283,0.0003836946,0.0009292182,0.0007650951,0.0001397875],"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":[0.00009184139,0.00006544957,0.0005570667,0.0001586323,0.00007175832,0.0001128915,0.00006407675,0.428233,0.0002619329,0.5251574,0.01116322,0.03406283],"study_design_scores_gemma":[0.00001360604,0.00001954037,0.0003172085,0.00003823677,0.00002161932,0.0000664838,0.00002571959,0.6560431,0.0002113514,0.3408467,0.002378097,0.0000182911],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.03542131,0.00809224,0.861075,0.00238538,0.0006408776,0.00004895689,0.0005953214,0.0006586588,0.09108213],"genre_scores_gemma":[0.7712152,0.008961879,0.1812556,0.0007741291,0.0009257365,0.0002429405,0.001165811,0.0006863497,0.03477234],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.01111311,"threshold_uncertainty_score":0.03717703,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1093962917583165,"score_gpt":0.3616963090994728,"score_spread":0.2523000173411563,"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."}}