{"id":"W3020951023","doi":"10.1016/j.cagd.2021.102039","title":"Affine invariant triangulations","year":2021,"lang":"en","type":"article","venue":"Computer Aided Geometric Design","topic":"Computational Geometry and Mesh Generation","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"Carleton University","funders":"Horizon 2020; Consejo Nacional de Ciencia y Tecnología; Generalitat de Catalunya; Fonds De La Recherche Scientifique - FNRS; Natural Sciences and Engineering Research Council of Canada; FP7 Coherent Development of Research Policies","keywords":"Marie curie; European union; Affine transformation; Invariant (physics); Mathematics; Political science; Pure mathematics; Combinatorics; Computer science; Business; Mathematical physics; International trade","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":[0.000270733,0.000643554,0.0004862137,0.001702443,0.0005697865,0.001555782,0.0007604448,0.0005372167,0.02241163],"category_scores_gemma":[0.0008706092,0.0004409489,0.0006096294,0.001130765,0.0008901755,0.00127099,0.001881476,0.001321565,0.00819398],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004233396,"about_ca_system_score_gemma":0.0003549453,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0006139059,"about_ca_topic_score_gemma":0.0007462704,"domain_scores_codex":[0.9992723,0.00007534619,0.00003759276,0.000185733,0.000348871,0.00008007598],"domain_scores_gemma":[0.9995878,0.00003812432,0.00005297285,0.0001771035,0.0001132452,0.00003069686],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0001594456,0.00008047788,0.0008089528,0.0001390191,0.00003754703,0.0004019541,0.0002578824,0.0244629,0.04145513,0.5743964,0.01118722,0.3466131],"study_design_scores_gemma":[0.00006658983,0.0004255916,0.002884389,0.00008290709,0.00007141436,0.002119829,0.0005543014,0.2070156,0.08296172,0.398576,0.3051546,0.00008705384],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.02545024,0.000441659,0.8646947,0.0001960739,0.0004057069,0.0001345225,0.0007825759,0.001381009,0.1065136],"genre_scores_gemma":[0.6021087,0.001437023,0.2617491,0.0002901945,0.0003065678,0.0001651055,0.002736532,0.001253896,0.1299528],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.02241163,"threshold_uncertainty_score":0.0749743,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04384990333869496,"score_gpt":0.2494586247441629,"score_spread":0.205608721405468,"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."}}