{"id":"W2050543800","doi":"10.1145/2766990","title":"Flow aligned surfacing of curve networks","year":2015,"lang":"en","type":"article","venue":"ACM Transactions on Graphics","topic":"3D Shape Modeling and Analysis","field":"Engineering","cited_by":80,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia","funders":"","keywords":"Curvature; Flow (mathematics); Principal curvature; Surface (topology); Sketch; Line (geometry); Computer science; Mean curvature flow; Computer graphics (images); Graphics; Field (mathematics); Geometry; Artificial intelligence; Computer vision; Topology (electrical circuits); Algorithm; Mathematics; Mean curvature","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":[0.0001806636,0.0001152882,0.0001722086,0.0001796647,0.00005099483,0.00001246375,0.0001533225,0.00009792509,0.00001533253],"category_scores_gemma":[0.00001297549,0.0001173968,0.0001426879,0.0005294942,0.00002717236,0.00006758888,0.000001568274,0.0001465066,0.000006829709],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001744644,"about_ca_system_score_gemma":0.000009996293,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00004248586,"about_ca_topic_score_gemma":0.00008028258,"domain_scores_codex":[0.9993443,0.00002221672,0.000200947,0.0001132856,0.0001617404,0.0001575348],"domain_scores_gemma":[0.9993795,0.00006246512,0.00001918068,0.0003689511,0.00007860586,0.00009131451],"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":[0.000004832468,0.00002501122,0.00007566964,0.00001023491,0.00009659453,9.063263e-7,0.000152103,0.9936931,0.00005509023,0.00001711755,0.0001139869,0.005755317],"study_design_scores_gemma":[0.0002137635,0.00002958443,0.00002945649,0.00002542354,0.00007813526,0.000001316122,0.00007648885,0.9977445,0.000908808,0.000673537,0.00009408791,0.0001249005],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.04940115,0.0002587553,0.9495432,0.00006930375,0.0002365427,0.00003642061,0.00001416178,0.0001989921,0.0002414897],"genre_scores_gemma":[0.9956537,0.0002474844,0.003973688,0.00003337302,0.00002253027,0.000004978739,0.000008504376,0.0000242333,0.00003147626],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9462526,"threshold_uncertainty_score":0.4787302,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02864601295580507,"score_gpt":0.2288429869076208,"score_spread":0.2001969739518157,"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."}}