{"id":"W2042718509","doi":"10.1145/2558307","title":"Computing smooth surface contours with accurate topology","year":2014,"lang":"en","type":"article","venue":"ACM Transactions on Graphics","topic":"Advanced Numerical Analysis Techniques","field":"Engineering","cited_by":23,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"Natural Sciences and Engineering Research Council of Canada; Canadian Institute for Advanced Research","keywords":"Surface (topology); Computer science; Consistency (knowledge bases); Subdivision; Representation (politics); Topology (electrical circuits); Tessellation (computer graphics); Visibility; Algorithm; Mathematics; Computer vision; Artificial intelligence; Computer graphics (images); Geometry","routes":{"ca_aff":true,"ca_fund":true,"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":[0.0007246368,0.0006774366,0.0007373235,0.001403426,0.0004927564,0.002365308,0.001178225,0.001234138,0.002547401],"category_scores_gemma":[0.006590736,0.0008983899,0.0009131068,0.0007764946,0.0009729295,0.002156574,0.00204659,0.00126904,0.001009441],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006656728,"about_ca_system_score_gemma":0.0008499839,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001777783,"about_ca_topic_score_gemma":0.002035723,"domain_scores_codex":[0.9992632,0.00007684703,0.00003631329,0.00009197867,0.0004704724,0.00006108011],"domain_scores_gemma":[0.9983028,0.0007044749,0.0001339018,0.000456914,0.0003279082,0.00007404025],"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":[0.0001772286,0.00004899508,0.002294678,0.0002073241,0.0000523808,0.0004509441,0.0006237015,0.6051898,0.07844771,0.06196448,0.002794356,0.2477483],"study_design_scores_gemma":[0.0000137248,0.00002741062,0.000199713,0.000009414912,0.0000053965,0.0001055557,0.0000431008,0.9692377,0.009777266,0.01777755,0.002789598,0.0000135464],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.01984146,0.00004450936,0.9780616,0.00005274494,0.0000172675,0.0000258832,0.00003235752,0.0009036548,0.001020406],"genre_scores_gemma":[0.3068359,0.0001468765,0.6903122,0.0000415602,0.00002442438,0.00005994093,0.0002402198,0.0008359507,0.00150291],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.002547401,"threshold_uncertainty_score":0.008521974,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01069633877148749,"score_gpt":0.2462554775732553,"score_spread":0.2355591388017678,"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."}}