{"id":"W3205213491","doi":"10.1007/978-3-031-30445-3_35","title":"A Cross-Platform Benchmark for Interval Computation Libraries","year":2023,"lang":"en","type":"book-chapter","venue":"Lecture notes in computer science","topic":"Numerical Methods and Algorithms","field":"Computer Science","cited_by":1,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Victoria","funders":"","keywords":"Computer science; Benchmark (surveying); Computation; Interval (graph theory); Interval arithmetic; Parallel computing; Theoretical computer science; Computational science; Algorithm; Mathematics; Cartography; Combinatorics","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":[0.002539591,0.002470453,0.0008698626,0.001704034,0.0009495544,0.002355147,0.005004463,0.001321268,0.03188742],"category_scores_gemma":[0.007353323,0.0009366696,0.0012502,0.00395299,0.0006577377,0.003328532,0.002805276,0.002150353,0.01125884],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0009188333,"about_ca_system_score_gemma":0.001801257,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004586047,"about_ca_topic_score_gemma":0.005843298,"domain_scores_codex":[0.9975386,0.0004752275,0.0002783364,0.0003364689,0.001033519,0.000337857],"domain_scores_gemma":[0.995635,0.001649108,0.0001715666,0.00114913,0.00110193,0.0002932161],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.0031383,0.001515723,0.003961879,0.001725815,0.0003110429,0.000532207,0.0004415868,0.05340607,0.02458793,0.0360266,0.3420439,0.5323089],"study_design_scores_gemma":[0.001716515,0.001223509,0.004089097,0.0003613173,0.0002744673,0.0005773501,0.0003610676,0.5960057,0.1252615,0.03705594,0.2328057,0.0002678987],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1015404,0.002956408,0.4770621,0.0007677723,0.001288657,0.0009104974,0.01347892,0.2982533,0.1037421],"genre_scores_gemma":[0.3086455,0.001377958,0.5129438,0.0009248912,0.0002421791,0.001289708,0.05924293,0.05846737,0.05686568],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.03188742,"threshold_uncertainty_score":0.106674,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04205215407942594,"score_gpt":0.3181242341319515,"score_spread":0.2760720800525255,"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."}}