{"id":"W3214674962","doi":"10.1109/models50736.2021.00014","title":"Repository Mining for Changes in Simulink Models","year":2021,"lang":"en","type":"article","venue":"","topic":"Software Engineering Research","field":"Computer Science","cited_by":5,"is_retracted":false,"has_abstract":true,"ca_institutions":"McMaster University","funders":"","keywords":"Artifact (error); Computer science; Automotive industry; Software; Software engineering; Model-based design; Software development; Simulation; Engineering; Artificial intelligence; Operating 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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.006046161,0.001550459,0.001092484,0.01380868,0.001237664,0.004140445,0.003853218,0.001433749,0.002581214],"category_scores_gemma":[0.05388677,0.001058568,0.002437023,0.008794612,0.000923003,0.00484156,0.003481728,0.001853899,0.001383146],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00168437,"about_ca_system_score_gemma":0.003511919,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.008823761,"about_ca_topic_score_gemma":0.01376029,"domain_scores_codex":[0.9887807,0.001538426,0.001809935,0.002273599,0.005115376,0.0004819302],"domain_scores_gemma":[0.9584879,0.01456105,0.006619967,0.01095175,0.008635852,0.0007434927],"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":[0.001074853,0.001079812,0.2108339,0.003973069,0.0009571384,0.006462177,0.005198299,0.1063966,0.0196657,0.02303962,0.04359087,0.577728],"study_design_scores_gemma":[0.0002074291,0.0005539224,0.0582375,0.001095999,0.00103134,0.00388382,0.00357927,0.6714571,0.06897479,0.02143904,0.1692035,0.0003363845],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"methods","genre_scores_codex":[0.4853688,0.003463183,0.3970088,0.002236908,0.0007103218,0.001716941,0.05123869,0.04580186,0.01245455],"genre_scores_gemma":[0.5483745,0.001384478,0.3289093,0.0002245603,0.00007732847,0.0007243626,0.1118658,0.003067179,0.005372386],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.01380868,"threshold_uncertainty_score":0.03197557,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04334033440436619,"score_gpt":0.2858387958536451,"score_spread":0.2424984614492789,"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."}}