{"id":"W2154558981","doi":"10.1287/moor.1040.0124","title":"A Conic Programming Approach to Generalized Tchebycheff Inequalities","year":2005,"lang":"en","type":"article","venue":"Mathematics of Operations Research","topic":"Advanced Optimization Algorithms Research","field":"Mathematics","cited_by":30,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of New Brunswick","funders":"","keywords":"Conic section; Mathematics; Semidefinite programming; Piecewise; Mathematical optimization; Class (philosophy); Applied mathematics; Mathematical analysis; Computer science","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":[0.003649335,0.0002221508,0.0004856216,0.0007701702,0.00041207,0.0002237168,0.0007169063,0.000127502,0.0002970784],"category_scores_gemma":[0.004779746,0.000199887,0.0001011898,0.001482921,0.0002661708,0.0003294407,0.0003909524,0.0004868019,0.0001238675],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002395369,"about_ca_system_score_gemma":0.000297106,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00003811508,"about_ca_topic_score_gemma":0.00006369074,"domain_scores_codex":[0.995905,0.0003691616,0.0009381082,0.0004042465,0.001647694,0.0007357244],"domain_scores_gemma":[0.9960974,0.000846084,0.00006181585,0.0009333544,0.001797027,0.000264349],"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":[0.00003088237,0.002622208,0.000009562689,0.0009189011,0.0001155076,0.000001935027,0.02128919,0.0912891,0.003561144,0.8680344,0.00308861,0.009038512],"study_design_scores_gemma":[0.001720503,0.00030414,0.000006053,0.0002335169,0.00002819409,0.00003100541,0.01053246,0.9175045,0.02262274,0.03634788,0.01003303,0.0006359227],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.09098101,0.0001491087,0.8855104,0.00160127,0.00003239403,0.003389288,0.00003601367,0.0001907166,0.0181098],"genre_scores_gemma":[0.07811609,0.00003338404,0.91088,0.00003162894,0.0001221884,0.0008871465,0.00002379898,0.00007524947,0.009830497],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.8316866,"threshold_uncertainty_score":0.8151156,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.2856956413919422,"score_gpt":0.4884137580789195,"score_spread":0.2027181166869773,"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."}}