{"id":"W2077734604","doi":"10.3722/cadaps.2013.173-195","title":"3D CAD Model Comparison: An Evaluation of Model Difference Identification Technologies","year":2012,"lang":"en","type":"article","venue":"Computer-Aided Design and Applications","topic":"Manufacturing Process and Optimization","field":"Engineering","cited_by":19,"is_retracted":false,"has_abstract":true,"ca_institutions":"École de Technologie Supérieure","funders":"","keywords":"CAD; Identification (biology); Computer science; Engineering; Engineering drawing; Biology","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.003873641,0.000844931,0.00107807,0.005276008,0.0004340608,0.002377034,0.001518393,0.0013674,0.00739468],"category_scores_gemma":[0.01638134,0.0003758583,0.001132489,0.002569947,0.0004590267,0.002507922,0.001849645,0.0005037426,0.001371674],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008483446,"about_ca_system_score_gemma":0.0007138365,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001802575,"about_ca_topic_score_gemma":0.001531645,"domain_scores_codex":[0.9960341,0.001178802,0.0002586661,0.0003470805,0.00204449,0.000136931],"domain_scores_gemma":[0.9898552,0.006387057,0.0004446095,0.001422537,0.00178586,0.0001048189],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.002746513,0.000615452,0.01119103,0.0008151638,0.0002587345,0.0001549578,0.0004380821,0.1519859,0.01222578,0.01332233,0.004024795,0.8022214],"study_design_scores_gemma":[0.0001091919,0.0008153667,0.00781639,0.00007111683,0.0001297461,0.0004062419,0.0002628738,0.9630518,0.01613565,0.004589464,0.006541822,0.00007027046],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.2738358,0.002759856,0.6876217,0.0003948538,0.0004078608,0.0006636347,0.001946408,0.006729014,0.02564094],"genre_scores_gemma":[0.7856502,0.0008233702,0.2079939,0.00009758904,0.00003460048,0.0002297632,0.002115642,0.0006520337,0.002402953],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.00739468,"threshold_uncertainty_score":0.02473766,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.08502867176232506,"score_gpt":0.2946973809018295,"score_spread":0.2096687091395044,"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."}}