{"id":"W2087373162","doi":"10.1177/0037549709340530","title":"Towards Domain-specific Model Editors with Automatic Model Completion","year":2009,"lang":"en","type":"article","venue":"SIMULATION","topic":"Model-Driven Software Engineering Techniques","field":"Computer Science","cited_by":55,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University","funders":"","keywords":"Computer science; Programming language; Generative grammar; Syntax; Natural language processing; Domain (mathematical analysis); Artificial intelligence; Abstract syntax; Program synthesis; Grammar; Set (abstract data type); Natural language; Modeling language; Software; Linguistics","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":[0.0001770255,0.0001761279,0.0001661948,0.0001496869,0.00009179497,0.00009804146,0.0003876683,0.00008463411,0.000002385862],"category_scores_gemma":[0.000001790509,0.0001611098,0.00004307247,0.0002725747,0.00001855697,0.0006464091,0.00004395104,0.000120255,0.000008790715],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001449942,"about_ca_system_score_gemma":0.00004743193,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00000175946,"about_ca_topic_score_gemma":3.135433e-7,"domain_scores_codex":[0.9987381,0.00002204046,0.0002281644,0.0003322024,0.0004559686,0.0002235879],"domain_scores_gemma":[0.9991413,0.00002219437,0.00008400562,0.0005517242,0.0001304445,0.00007026637],"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":[0.000003276477,0.00002401266,0.000006361883,0.000004595536,0.000002316901,0.000001067963,0.0003217219,0.8502961,0.0001910508,0.1214149,0.0003549388,0.02737961],"study_design_scores_gemma":[0.0001971924,0.00007811753,0.0004709915,0.00003177732,0.000002814261,0.00000181968,5.730663e-7,0.9586068,0.0001416762,0.03843262,0.001836389,0.0001991826],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.014867,0.00001180498,0.9824122,0.0002879419,0.0001492984,0.0002564306,0.000001907669,0.001764481,0.0002488939],"genre_scores_gemma":[0.4926309,0.000001076239,0.5071803,0.00004798984,0.0001082784,0.00000681548,0.000006050775,0.000008101571,0.00001044814],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.4777639,"threshold_uncertainty_score":0.6569867,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02021494543539698,"score_gpt":0.2552345985110601,"score_spread":0.2350196530756631,"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."}}