{"id":"W58822454","doi":"10.1016/b978-008044046-0.50473-5","title":"Controlling approximation error","year":2003,"lang":"en","type":"book-chapter","venue":"Elsevier eBooks","topic":"Advanced Numerical Methods in Computational Mathematics","field":"Engineering","cited_by":9,"is_retracted":false,"has_abstract":false,"ca_institutions":"Compute Canada","funders":"","keywords":"Computer science; Applied mathematics; 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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0001886562,0.0003845509,0.0005353966,0.0001085172,0.00005213694,0.00002626858,0.0001578397,0.0002497059,0.00008270472],"category_scores_gemma":[0.00007204494,0.000396321,0.000160075,0.00001383086,0.00005714354,0.00003871895,0.00002366561,0.0004451314,0.0001468735],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001339649,"about_ca_system_score_gemma":0.00001462915,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":4.945701e-9,"about_ca_topic_score_gemma":1.118472e-7,"domain_scores_codex":[0.9987254,0.00002039878,0.0005094536,0.0002392619,0.0002876781,0.0002178531],"domain_scores_gemma":[0.9990461,0.0003343857,0.000144567,0.0003117327,0.00007818019,0.00008500853],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.000002243387,0.000002362376,5.251689e-8,0.0002440117,0.00007814955,0.000005145377,0.00005066075,0.01029851,0.00002847631,0.0354709,0.00005500124,0.9537645],"study_design_scores_gemma":[0.0001520166,0.00001217731,1.328051e-7,0.0001992094,0.00005367539,0.00001062631,0.000002002937,0.02218318,0.00006022925,0.4261365,0.5508371,0.0003531714],"study_design_candidate":"design_other","study_design_consensus":null,"genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.00000135181,0.0007325132,0.2257162,0.000009891692,0.0004830108,0.0003629284,0.00001072136,0.0002840868,0.7723992],"genre_scores_gemma":[0.00006499986,0.0000319633,0.4337862,0.0001648064,0.0002038464,0.00004717478,0.00001187811,0.0001935796,0.5654956],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.9534113,"threshold_uncertainty_score":0.9998488,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03010505715477883,"score_gpt":0.2785874347073515,"score_spread":0.2484823775525727,"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."}}