{"id":"W2046849197","doi":"10.1007/s00500-013-1012-z","title":"Managing uncertainty and discontinuous condition numbers in geometric computation","year":2013,"lang":"en","type":"article","venue":"Soft Computing","topic":"Advanced Numerical Analysis Techniques","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"Université de Montréal","funders":"","keywords":"Robustness (evolution); Subdivision; Computation; Interval arithmetic; Computer science; Mathematical optimization; Floating point; Interval (graph theory); Mathematics; Algorithm; Topology (electrical circuits); Theoretical computer science; Combinatorics; Engineering","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":[],"consensus_categories":[],"category_scores_codex":[0.00009255727,0.0001112094,0.000174371,0.000261175,0.00004729384,0.00004969002,0.00005625981,0.00003495823,0.00001084505],"category_scores_gemma":[0.00003294505,0.0001161084,0.00002608083,0.0006372578,0.00002971748,0.000193745,0.00004102885,0.0001398195,0.00001443512],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00008186275,"about_ca_system_score_gemma":0.000001804119,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001987428,"about_ca_topic_score_gemma":0.00001181054,"domain_scores_codex":[0.9992973,0.00001933116,0.0002219086,0.0001624781,0.00008886349,0.0002100784],"domain_scores_gemma":[0.9996902,0.0001353234,0.00004156889,0.000064926,0.00002519573,0.00004277722],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[7.23539e-7,0.000009778923,0.007728363,0.00004556767,0.00001549816,0.00000375204,0.0001517529,0.5945051,0.0005679939,0.00007143038,0.0001693716,0.3967307],"study_design_scores_gemma":[0.0001411806,0.000009999457,0.01888316,0.0000457767,0.000005798122,0.000003635114,0.000149424,0.9734066,0.0001458791,0.007000796,0.00004809304,0.0001596398],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.4781312,0.000104899,0.5206612,0.00004193217,0.00003135879,0.0001039308,4.323059e-7,0.0003408161,0.0005842001],"genre_scores_gemma":[0.9865788,0.00001558966,0.01329049,0.00004028137,0.0000278515,0.000007082308,0.00001458882,0.00001717966,0.000008090692],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.5084476,"threshold_uncertainty_score":0.4734764,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.004837242475969983,"score_gpt":0.2347805144880752,"score_spread":0.2299432720121052,"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."}}