{"id":"W2107966077","doi":"","title":"Efficient Snap Rounding with Integer Arithmetic.","year":2007,"lang":"en","type":"article","venue":"Canadian Conference on Computational Geometry","topic":"Computational Geometry and Mesh Generation","field":"Computer Science","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"Simon Fraser University","funders":"","keywords":"Rounding; Combinatorics; Partition (number theory); Logarithm; Intersection (aeronautics); Integer (computer science); Mathematics; Time complexity; Line segment; Discrete mathematics; Computer science; Algorithm; Geometry","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":[0.000730049,0.000255908,0.0002020262,0.00154814,0.0003873415,0.0003780815,0.0005918032,0.00009723725,0.0001256768],"category_scores_gemma":[0.00009200753,0.0002437152,0.0000606806,0.001961217,0.00008512531,0.0001777737,0.00005718629,0.0002850881,0.0002366142],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004306575,"about_ca_system_score_gemma":0.001335825,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001142849,"about_ca_topic_score_gemma":0.004156295,"domain_scores_codex":[0.9976703,0.00004892422,0.0003419458,0.0006064794,0.000721478,0.000610874],"domain_scores_gemma":[0.9978908,0.0003942949,0.0001183762,0.0003213459,0.0006032183,0.0006720101],"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":[0.00001381668,0.00004689575,0.0002741686,0.000006554197,0.00002499674,0.00007436296,0.0001401068,0.4951856,0.00002747752,0.4793583,0.000365219,0.02448257],"study_design_scores_gemma":[0.0007289964,0.0003258649,0.02235652,0.00008595707,0.00001083423,0.0001550086,0.0001260349,0.9550595,0.0002569282,0.01478668,0.00545337,0.00065435],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.08461986,0.00003892051,0.9003203,0.001712462,0.0005224074,0.0002056256,0.00001243665,0.000100645,0.01246736],"genre_scores_gemma":[0.9326467,8.793629e-7,0.06509992,0.001661033,0.0001471531,0.000008837083,0.00006265989,0.00001404135,0.0003587756],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.8480268,"threshold_uncertainty_score":0.9938419,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02250077548283974,"score_gpt":0.2500785208696665,"score_spread":0.2275777453868267,"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."}}