{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001398199,0.00005969838,0.000109378,0.00004479587,0.00001717303,0.00003068374,0.000330808,0.00003142651,0.000002073155],"category_scores_gemma":[0.00000217166,0.00005284449,0.00001089107,0.000137293,0.00002598875,0.0001780302,0.0001560505,0.00004432182,0.000004436524],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000006043084,"about_ca_system_score_gemma":0.00001264155,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003138884,"about_ca_topic_score_gemma":0.00001207222,"domain_scores_codex":[0.9995298,0.00001543262,0.0001335525,0.0001586254,0.00008028332,0.00008225159],"domain_scores_gemma":[0.9994636,0.00003794673,0.0000334272,0.0003615693,0.00006296875,0.00004054064],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[3.290658e-7,0.00007845826,0.01337905,0.00002769953,0.000009167939,2.489498e-8,0.0002284863,0.01733357,0.0001887162,0.7565641,0.001332158,0.2108583],"study_design_scores_gemma":[0.00002535282,0.000008500322,0.01717063,0.000002011127,6.913572e-7,3.964965e-7,6.167353e-7,0.9793919,0.0005935439,0.002591621,0.0001549558,0.00005979876],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.002766656,0.00005399483,0.996105,0.00004267846,0.000003943913,0.0002337125,0.000001459629,0.0003044534,0.0004880715],"genre_scores_gemma":[0.4984367,0.000001771886,0.5014312,0.000007200451,0.000001298261,0.00008012495,0.000001199015,0.000002400074,0.00003803464],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.9620583,"threshold_uncertainty_score":0.2154936,"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."}}