{"id":"W1602934625","doi":"10.5220/0004313003070311","title":"Application of Model Comparison Techniques to Model Transformation Testing","year":2013,"lang":"en","type":"article","venue":"","topic":"Model-Driven Software Engineering Techniques","field":"Computer Science","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"Queen's University","funders":"","keywords":"Model transformation; Transformation (genetics); Computer science; Strengths and weaknesses; Context (archaeology); Artificial intelligence","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":[0.02664846,0.001750317,0.001173836,0.005787148,0.001377352,0.002216904,0.003672576,0.001625303,0.007671623],"category_scores_gemma":[0.1043776,0.0008085319,0.001751701,0.00455824,0.001960306,0.00603789,0.003760214,0.003143118,0.0005974043],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002043151,"about_ca_system_score_gemma":0.002978188,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002848375,"about_ca_topic_score_gemma":0.003864793,"domain_scores_codex":[0.9720327,0.0185794,0.001203248,0.001312064,0.006392558,0.0004799584],"domain_scores_gemma":[0.9095353,0.06793258,0.003623449,0.009761788,0.00874503,0.0004018308],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0008788489,0.0005495455,0.005966207,0.001220638,0.0004670793,0.0009399319,0.001598755,0.139577,0.01315602,0.2076735,0.007242657,0.6207298],"study_design_scores_gemma":[0.0002932622,0.0008034505,0.00176129,0.0004107353,0.0002359771,0.0009306986,0.0006066241,0.691184,0.03129694,0.2473087,0.02501859,0.0001497567],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.008388623,0.000194291,0.9856583,0.0003251135,0.00008691967,0.0002266857,0.00009805307,0.002174554,0.002847372],"genre_scores_gemma":[0.2244119,0.0002111835,0.7724093,0.0001803348,0.00004762883,0.0003946903,0.0003571328,0.001070872,0.0009168852],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.02664846,"threshold_uncertainty_score":0.1409322,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03317310705964801,"score_gpt":0.2750357864616364,"score_spread":0.2418626794019884,"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."}}