{"id":"W4388184697","doi":"10.48550/arxiv.2310.20401","title":"Utilitarian Algorithm Configuration","year":2023,"lang":"en","type":"preprint","venue":"arXiv (Cornell University)","topic":"Optimization and Search Problems","field":"Computer Science","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Natural Sciences and Engineering Research Council of Canada; Alberta Machine Intelligence Institute; Compute Canada; Defense Advanced Research Projects Agency; Canadian Institute for Advanced Research; National Science Foundation","keywords":"Computer science; Heuristic; Bounded function; Contrast (vision); Monotonic function; Runtime verification; Heuristics; Algorithm; Minification; Mathematical optimization; Mathematics; Programming language; Artificial intelligence","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":[0.0003114153,0.0002027328,0.000201421,0.0002869815,0.000165143,0.0002064333,0.00137681,0.0002377045,0.00007804124],"category_scores_gemma":[0.00003637406,0.0002424865,0.0001282718,0.0006515017,0.00007041312,0.0003978907,0.001266846,0.0004441007,0.0006640423],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001297842,"about_ca_system_score_gemma":0.0002512328,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002049803,"about_ca_topic_score_gemma":0.00003280787,"domain_scores_codex":[0.9983638,0.00015217,0.0001749965,0.0008936908,0.0001127157,0.0003026116],"domain_scores_gemma":[0.9984467,0.00007588712,0.00012624,0.000961919,0.0002209804,0.0001682623],"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":[0.000006096323,0.00007487844,0.0002364674,0.00005695306,0.000083759,0.00031144,0.0004928581,0.4235772,0.000008572494,0.5637807,0.002713456,0.008657552],"study_design_scores_gemma":[0.0002325903,0.00002618185,0.0004056547,0.00003173346,0.00001030212,0.000001140821,0.00004327497,0.9383063,0.0000233889,0.05932252,0.001355696,0.0002412265],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.000679993,0.00001288649,0.9920163,0.0005239766,0.0008143666,0.0003160234,0.00001803974,0.0006887503,0.004929632],"genre_scores_gemma":[0.9442516,0.0002962819,0.03040953,0.0002079803,0.0001137763,0.000003027916,0.0001386421,0.00003299993,0.02454617],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.9616068,"threshold_uncertainty_score":0.9888311,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1356609803963766,"score_gpt":0.2110293671413247,"score_spread":0.07536838674494808,"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."}}