{"id":"W1505131313","doi":"10.5220/0004311102650277","title":"A Survey of Model Comparison Approaches and Applications","year":2013,"lang":"en","type":"article","venue":"","topic":"Model-Driven Software Engineering Techniques","field":"Computer Science","cited_by":89,"is_retracted":false,"has_abstract":true,"ca_institutions":"Queen's University","funders":"","keywords":"Software versioning; Generality; Computer science; Matching (statistics); Variance (accounting); Similarity (geometry); Data modeling; Software engineering; Data mining; Industrial engineering; Artificial intelligence; Software; Programming language; Engineering","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":[0.01804297,0.002676151,0.003013566,0.01245272,0.001934335,0.007277104,0.006281059,0.002791115,0.01284352],"category_scores_gemma":[0.04755892,0.001609821,0.003917992,0.01911939,0.001884562,0.01084757,0.004802306,0.003340094,0.003998261],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.004124787,"about_ca_system_score_gemma":0.004167888,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004225923,"about_ca_topic_score_gemma":0.002573157,"domain_scores_codex":[0.9812019,0.007194296,0.001804736,0.002326381,0.007000162,0.0004725039],"domain_scores_gemma":[0.9664953,0.02042232,0.001631625,0.005970721,0.005093885,0.0003860588],"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":[0.0001632088,0.0001591159,0.002092446,0.004726919,0.0003258084,0.0001530319,0.0004631645,0.01030694,0.001155352,0.2030895,0.02096795,0.7563965],"study_design_scores_gemma":[0.00007262899,0.0002943334,0.002288439,0.00476607,0.0003713942,0.001693006,0.0009163686,0.06747317,0.005567033,0.3689753,0.5473469,0.0002353009],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"review","genre_scores_codex":[0.003990763,0.1259094,0.830484,0.003180778,0.0007720255,0.0004673332,0.001311699,0.005244629,0.02863941],"genre_scores_gemma":[0.08077928,0.1246091,0.7772239,0.001626589,0.001138374,0.0008591969,0.004494693,0.002509604,0.006759196],"genre_candidate":"review","genre_consensus":null,"teacher_disagreement_score":0.01804297,"threshold_uncertainty_score":0.09542149,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.08998713553380384,"score_gpt":0.2687271794731372,"score_spread":0.1787400439393334,"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."}}