{"id":"W4241745308","doi":"10.13052/ejcm.18.177-194","title":"Reconstruction automatique des entités d’un modèle BREP à partir d’un maillage déformé","year":2009,"lang":"en","type":"article","venue":"European Journal of Computational Mechanics","topic":"Advanced Numerical Analysis Techniques","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université du Québec à Trois-Rivières","funders":"","keywords":"CAD; Automation; Computer science; Engineering drawing; Product (mathematics); Electronic design automation; Product design; Engineering; Mechanical engineering; Mathematics; Geometry; Embedded system","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":[0.0005039662,0.0001683773,0.0002471262,0.0001803654,0.00009855714,0.00004867308,0.0002138416,0.00002995169,0.00008473109],"category_scores_gemma":[0.00006297292,0.000159396,0.0001628173,0.0002902083,0.0000213444,0.0003846617,0.00002056013,0.0002600856,0.00002351661],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00008478756,"about_ca_system_score_gemma":0.00001437437,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":1.137873e-7,"about_ca_topic_score_gemma":9.668734e-8,"domain_scores_codex":[0.9985955,0.0001178776,0.0006961825,0.0001137443,0.0002949587,0.0001817301],"domain_scores_gemma":[0.9991909,0.00005538331,0.0002778889,0.0001094299,0.0002412955,0.0001250932],"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":[0.00001383289,0.00005382102,0.000005569509,0.00001214109,0.00009030449,0.0000808417,0.0001422921,0.6623387,0.01057673,0.004469507,0.0001035645,0.3221126],"study_design_scores_gemma":[0.0004845355,0.0003458513,0.0009999847,0.0001154192,0.00006588087,0.001298005,0.00005223163,0.7234493,0.02254452,0.2497322,0.000616284,0.0002957238],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1466579,0.000163909,0.8519239,0.00009215269,0.0001368294,0.00004703695,0.000003010877,0.0002301935,0.0007451454],"genre_scores_gemma":[0.6714021,0.0000716776,0.3283323,0.00006828065,0.00009418508,3.67944e-7,0.000003106615,0.00002305676,0.000004965942],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.5247442,"threshold_uncertainty_score":0.6499978,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01113992114328072,"score_gpt":0.2156734668410573,"score_spread":0.2045335456977766,"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."}}