{"id":"W2048753738","doi":"10.1145/2432497.2432502","title":"Model transformation testing","year":2012,"lang":"en","type":"article","venue":"","topic":"Software Testing and Debugging Techniques","field":"Computer Science","cited_by":28,"is_retracted":false,"has_abstract":true,"ca_institutions":"Queen's University","funders":"","keywords":"Correctness; Computer science; Model transformation; Transformation (genetics); Model-based testing; Software engineering; Integration testing; Key (lock); Programming language; Software; Artificial intelligence; Test case; Machine learning","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":[0.005041093,0.00168001,0.001035312,0.001820562,0.0008218587,0.002001328,0.002727769,0.001984393,0.009061458],"category_scores_gemma":[0.03696644,0.0004389828,0.001535601,0.001582659,0.001525471,0.003753876,0.002445704,0.002150779,0.003275877],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001033876,"about_ca_system_score_gemma":0.002198242,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001380096,"about_ca_topic_score_gemma":0.001174539,"domain_scores_codex":[0.987177,0.004223511,0.0006987889,0.001310264,0.005927808,0.0006626356],"domain_scores_gemma":[0.978061,0.01072066,0.0009147782,0.005654371,0.004375189,0.000273974],"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":[0.0006632597,0.0009459232,0.00805393,0.001042236,0.0002398626,0.00161101,0.0009772973,0.03909924,0.03595595,0.1617516,0.02466653,0.7249932],"study_design_scores_gemma":[0.0004091295,0.001438461,0.003441787,0.0008709423,0.0002976458,0.003079301,0.0008072394,0.4170186,0.1614123,0.2414662,0.1695638,0.0001945512],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.03351397,0.0008414652,0.9183269,0.00151035,0.0006167908,0.000700272,0.0007423476,0.008748553,0.0349994],"genre_scores_gemma":[0.5456305,0.001203058,0.4291467,0.001829653,0.0001894378,0.001191621,0.003958986,0.003048992,0.01380115],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.009061458,"threshold_uncertainty_score":0.03031361,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.09826907079709217,"score_gpt":0.287266794538881,"score_spread":0.1889977237417889,"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."}}