{"id":"W4413217170","doi":"10.1145/3712255.3734303","title":"BEACON: Continuous Bi-objective Benchmark problems with Explicit Adjustable COrrelatioN control","year":2025,"lang":"en","type":"article","venue":"Proceedings of the Genetic and Evolutionary Computation Conference Companion","topic":"Advanced Multi-Objective Optimization Algorithms","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Engineering and Physical Sciences Research Council; Foreign, Commonwealth and Development Office; International Development Research Centre","keywords":"Benchmark (surveying); Computer science; Correlation; Control (management); Mathematics; Artificial intelligence; Geometry; Geology","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001658271,0.0002429533,0.0003180015,0.0002132493,0.0003850728,0.0001229328,0.0004597688,0.00009052461,0.000006129736],"category_scores_gemma":[0.00006563022,0.0001945041,0.00005156842,0.0008617131,0.0001935326,0.0006594739,0.0002219935,0.000194477,0.000002128416],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001180233,"about_ca_system_score_gemma":0.0002008175,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00003014153,"about_ca_topic_score_gemma":0.000002625331,"domain_scores_codex":[0.9983949,0.00004062944,0.0004247775,0.0005361755,0.0003453133,0.0002581977],"domain_scores_gemma":[0.9975697,0.0001394015,0.0004489248,0.0001491288,0.00162451,0.00006835222],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0002224707,0.0004470781,0.1198287,0.0003284632,0.00025867,0.00000105494,0.003082097,0.6528556,0.003610293,0.1694264,0.001457914,0.0484813],"study_design_scores_gemma":[0.001329111,0.0001356184,0.2039603,0.0002185267,0.0000374567,0.00002544311,0.0003549591,0.7760156,0.0002890581,0.01733675,0.0001016543,0.0001955755],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.04106189,0.000408557,0.9543236,0.0006587573,0.0002681927,0.0009752001,0.000006860675,0.0001123867,0.00218451],"genre_scores_gemma":[0.8971485,0.00004322115,0.1023086,0.0001107074,0.00002529988,0.00007035831,0.000005849785,0.000009523091,0.0002779874],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.8560866,"threshold_uncertainty_score":0.7931647,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.007286590246987096,"score_gpt":0.212496243642684,"score_spread":0.2052096533956969,"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."}}