{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001605342,0.0001171263,0.0001602812,0.0001568835,0.00003255447,0.00004220321,0.0005957046,0.00006504572,0.000001037424],"category_scores_gemma":[0.000005745635,0.0001126024,0.00003071244,0.0003370504,0.00001086052,0.0007167602,0.00009251751,0.00008062267,0.00001279416],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0000439539,"about_ca_system_score_gemma":0.00002486332,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001141728,"about_ca_topic_score_gemma":0.000001868754,"domain_scores_codex":[0.9990543,0.000008451009,0.0003492116,0.0002150179,0.0002103812,0.000162712],"domain_scores_gemma":[0.9991283,0.00002295385,0.00007118993,0.0004732827,0.0002350022,0.00006929371],"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":[4.580643e-7,0.00002841101,0.00006043051,0.00002104663,0.000001665683,1.325201e-8,0.0005058973,0.4764082,0.03166579,0.1888781,0.0004000185,0.30203],"study_design_scores_gemma":[0.00002427805,0.00003259782,0.0000424585,0.00001585035,0.000001448442,6.710883e-7,0.000001286028,0.8962737,0.09375498,0.009603274,0.0001330769,0.0001164086],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.002616268,0.000002996268,0.9928699,0.000279296,0.000006859848,0.0006858331,0.000001166394,0.001907142,0.00163054],"genre_scores_gemma":[0.4635638,3.993547e-7,0.5361493,0.0000646682,0.000003016852,0.0001972704,0.000001114062,0.000005924695,0.00001450095],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.4609476,"threshold_uncertainty_score":0.4591794,"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."}}