{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.006920076,0.001673065,0.00135223,0.001828937,0.001526139,0.003761411,0.004245139,0.002553121,0.010039],"category_scores_gemma":[0.03914866,0.001101582,0.00122117,0.001594572,0.00431717,0.005112676,0.006508326,0.004444274,0.003905706],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001691235,"about_ca_system_score_gemma":0.0029083,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003409958,"about_ca_topic_score_gemma":0.0006015302,"domain_scores_codex":[0.9874865,0.005823906,0.0007962548,0.001641612,0.003199714,0.001052084],"domain_scores_gemma":[0.9750611,0.009200555,0.001522509,0.01164883,0.001839994,0.0007271307],"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":[0.0008986694,0.0004546556,0.002690957,0.0005374638,0.0001731749,0.0003163939,0.0006871989,0.2267589,0.01231497,0.5011903,0.01132453,0.2426527],"study_design_scores_gemma":[0.0001349124,0.0003846871,0.0003724591,0.0001185827,0.00006196828,0.0004000082,0.0001436143,0.6149567,0.01276661,0.3556733,0.01491227,0.00007495817],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.01821973,0.0002245243,0.9623785,0.0005033606,0.00006994631,0.0002444856,0.0001031468,0.003121175,0.01513505],"genre_scores_gemma":[0.475332,0.0002011445,0.5165489,0.0004159076,0.0001080697,0.0008049679,0.0004053864,0.001138702,0.005045014],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.010039,"threshold_uncertainty_score":0.03659725,"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."}}