{"id":"W2132474528","doi":"10.1007/978-3-319-11743-0_2","title":"MID: A MetaCASE Tool for a Better Reuse of Visual Notations","year":2014,"lang":"en","type":"book-chapter","venue":"Lecture notes in computer science","topic":"Model-Driven Software Engineering Techniques","field":"Computer Science","cited_by":1,"is_retracted":false,"has_abstract":false,"ca_institutions":"École de Technologie Supérieure","funders":"","keywords":"Computer science; Reuse; Metamodeling; Programming language; Software engineering; Notation; Unified Modeling Language; Formal specification; Visual modeling; Redundancy (engineering); Code reuse; Coding (social sciences); Software; 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":[0.00266532,0.001801599,0.001067674,0.00320056,0.0008736381,0.00540337,0.003763644,0.002239218,0.02893925],"category_scores_gemma":[0.012281,0.001566819,0.002300842,0.001978127,0.0007538627,0.007390439,0.005973619,0.004400361,0.01128195],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006587499,"about_ca_system_score_gemma":0.001172039,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00164139,"about_ca_topic_score_gemma":0.002312407,"domain_scores_codex":[0.9978392,0.0004080875,0.0002846819,0.0004031468,0.0009283393,0.0001367325],"domain_scores_gemma":[0.9943575,0.002507736,0.0002468307,0.001776784,0.0008057391,0.0003054476],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.0006070361,0.0005073193,0.001750192,0.001933336,0.0002468376,0.00111367,0.00348907,0.003153062,0.07182594,0.07430105,0.0814905,0.759582],"study_design_scores_gemma":[0.0003115646,0.000188989,0.001630632,0.0008147439,0.0003082718,0.003023151,0.0007052732,0.06208398,0.09964099,0.06097095,0.7699862,0.0003351169],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.003603783,0.0002872536,0.9403045,0.0002420274,0.0001957306,0.0001190921,0.0009630809,0.04723052,0.007053965],"genre_scores_gemma":[0.03677403,0.0005173896,0.90431,0.0003262318,0.00009273118,0.0003626091,0.005225769,0.03325994,0.0191313],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.02893925,"threshold_uncertainty_score":0.09681141,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0158865372529544,"score_gpt":0.2647999150166384,"score_spread":0.2489133777636839,"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."}}