{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.006309702,0.0007284061,0.001528049,0.001394331,0.001335861,0.004034545,0.001836604,0.002394685,0.002451783],"category_scores_gemma":[0.04643563,0.0008137305,0.0006178601,0.001387842,0.005812551,0.007636693,0.004193912,0.003886488,0.0002071569],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001952107,"about_ca_system_score_gemma":0.001514552,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001853179,"about_ca_topic_score_gemma":0.001872792,"domain_scores_codex":[0.9965977,0.00143568,0.0001419756,0.0003317354,0.001269945,0.0002230454],"domain_scores_gemma":[0.9663645,0.02869091,0.00130901,0.001816391,0.001283574,0.0005356853],"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":[0.00009838429,0.00005220235,0.0007941281,0.0001185664,0.00002771985,0.00009801765,0.00024081,0.4961097,0.0007358412,0.4683813,0.0007417525,0.03260168],"study_design_scores_gemma":[0.000006706921,0.00001597522,0.00007383453,0.00001512762,0.000005448177,0.00001330163,0.00002451312,0.7168714,0.0003485309,0.2821468,0.0004670972,0.00001129771],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.03965449,0.0009626794,0.9534456,0.001159476,0.0001317259,0.00002841416,0.00002863095,0.00009075154,0.004498194],"genre_scores_gemma":[0.8545752,0.0007762499,0.1414158,0.0001768835,0.0002314749,0.0001057917,0.00003972074,0.00008529336,0.002593471],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.006309702,"threshold_uncertainty_score":0.0333693,"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."}}