{"id":"W4254701380","doi":"10.1007/bf02985860","title":"The SIAM 100-Digit challenge: a study in high-accuracy numerical computing","year":2005,"lang":"en","type":"article","venue":"The Mathematical Intelligencer","topic":"Numerical Methods and Algorithms","field":"Computer Science","cited_by":40,"is_retracted":false,"has_abstract":false,"ca_institutions":"Dalhousie University","funders":"","keywords":"Numerical digit; Arithmetic; Computer science; Parallel computing; Mathematics","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":[0.006230361,0.0008660252,0.001109692,0.002224351,0.002460291,0.005095651,0.002547968,0.002806987,0.009688948],"category_scores_gemma":[0.09029746,0.0004562448,0.0005982601,0.005189014,0.003724946,0.008637357,0.003748653,0.005038843,0.002956285],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001726495,"about_ca_system_score_gemma":0.003255569,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.006629374,"about_ca_topic_score_gemma":0.006460165,"domain_scores_codex":[0.9939879,0.001504626,0.0001860619,0.0005146971,0.003521772,0.0002850163],"domain_scores_gemma":[0.9537357,0.03210641,0.001271217,0.004846442,0.006526043,0.001514191],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.0005610114,0.0002479571,0.007480857,0.001092271,0.00008023378,0.0002981686,0.0007344474,0.03364748,0.001223481,0.4627696,0.2722165,0.2196479],"study_design_scores_gemma":[0.0001169073,0.0001846164,0.004180653,0.0004644341,0.00004518837,0.0008913291,0.0009714011,0.2774405,0.005050554,0.5360637,0.1745067,0.00008415691],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.2197894,0.08072466,0.3107263,0.1180544,0.009522611,0.0002871715,0.004641235,0.004437011,0.2518173],"genre_scores_gemma":[0.7874518,0.02228019,0.1251334,0.007306725,0.005505856,0.0002770686,0.004943796,0.002366265,0.044735],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.009688948,"threshold_uncertainty_score":0.03294969,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05911578884719328,"score_gpt":0.3663316064438394,"score_spread":0.3072158175966462,"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."}}