{"id":"W3042850524","doi":"10.1287/opre.2021.0765","title":"Convolution Bounds on Quantile Aggregation","year":2024,"lang":"en","type":"article","venue":"Operations Research","topic":"Risk and Portfolio Optimization","field":"Decision Sciences","cited_by":14,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Waterloo","funders":"","keywords":"Quantile; Convolution (computer science); Mathematics; Computer science; Econometrics; Artificial intelligence","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":[0.008370886,0.001186572,0.001184282,0.001875618,0.0007346681,0.003692006,0.001497464,0.001793675,0.004618477],"category_scores_gemma":[0.04472343,0.0005904858,0.001715832,0.002297065,0.003559455,0.007297433,0.004343316,0.005813758,0.000693572],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003164745,"about_ca_system_score_gemma":0.001388067,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002290366,"about_ca_topic_score_gemma":0.001357654,"domain_scores_codex":[0.9952436,0.002005957,0.0002441936,0.0005906843,0.001514261,0.0004013109],"domain_scores_gemma":[0.9806082,0.01332882,0.001065677,0.002598791,0.001900903,0.0004976689],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.00004893175,0.0000209196,0.0004742797,0.00005452409,0.00004111638,0.00004530214,0.0001071762,0.04012412,0.0008450891,0.9255036,0.003724339,0.0290105],"study_design_scores_gemma":[0.000009859591,0.00002313135,0.0004247995,0.00006451194,0.0000235519,0.00004382594,0.00002141027,0.3413043,0.001037701,0.6509014,0.006121668,0.00002377527],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.007245367,0.001582854,0.9801025,0.001922744,0.0003077869,0.00002087144,0.00006735688,0.0001781521,0.008572218],"genre_scores_gemma":[0.6067734,0.00565662,0.3707822,0.002756638,0.002595169,0.000211691,0.0002966822,0.0006380358,0.01028956],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.008370886,"threshold_uncertainty_score":0.04427004,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.3492046772274995,"score_gpt":0.5549997028613539,"score_spread":0.2057950256338544,"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."}}