{"id":"W2802954545","doi":"","title":"Search-based model optimization using model transformations","year":2014,"lang":"en","type":"article","venue":"","topic":"Model-Driven Software Engineering Techniques","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University","funders":"","keywords":"Computer science; Representation (politics); Set (abstract data type); Model-driven architecture; Transformation (genetics); Domain (mathematical analysis); Space (punctuation); Model transformation; Optimization problem; Mathematical optimization; Artificial intelligence; Theoretical computer science; Algorithm; Unified Modeling Language; Programming language; Mathematics","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":[0.0002327889,0.0001092983,0.0000969313,0.0001567046,0.00009468206,0.00008757769,0.0004692865,0.00006002597,0.000004095923],"category_scores_gemma":[0.000002921175,0.0001080043,0.00004690246,0.0002168998,0.00001815824,0.0006934109,0.00004787359,0.00009075077,0.0000032728],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00005792293,"about_ca_system_score_gemma":0.00008531627,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000009964845,"about_ca_topic_score_gemma":0.000001232737,"domain_scores_codex":[0.9991757,0.00002357007,0.0001703426,0.0001998912,0.0002296183,0.0002008725],"domain_scores_gemma":[0.9993442,0.00001693224,0.0000210722,0.0004425893,0.0000985857,0.00007660726],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[4.1435e-7,0.0000111629,0.000002353507,0.000006669803,0.000001186088,5.78126e-8,0.00009484344,0.8025569,0.0001493812,0.1948714,0.00003444175,0.002271122],"study_design_scores_gemma":[0.0001076785,0.00001201759,6.079869e-7,0.00001106515,0.00000262052,0.000001022117,2.251177e-7,0.9951972,0.002448301,0.002031122,0.00005147411,0.0001366456],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.0003238875,0.000002203253,0.9971576,0.0002436423,0.00002064378,0.0001389235,0.000001947833,0.001393528,0.0007175679],"genre_scores_gemma":[0.2676968,0.000001140476,0.7320859,0.0001579055,0.00000572031,0.000009397662,0.000003504628,0.00001019723,0.00002937125],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.2673729,"threshold_uncertainty_score":0.4404289,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03232714590322869,"score_gpt":0.2561631931253571,"score_spread":0.2238360472221284,"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."}}