{"id":"W4200576845","doi":"10.1109/models-c53483.2021.00090","title":"DoMoBOT: An AI-Empowered Bot for Automated and Interactive Domain Modelling","year":2021,"lang":"en","type":"article","venue":"2021 ACM/IEEE International Conference on Model Driven Engineering Languages and Systems Companion (MODELS-C)","topic":"Software Engineering Research","field":"Computer Science","cited_by":7,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University","funders":"","keywords":"Computer science; Domain (mathematical analysis); Set (abstract data type); Domain model; MODELLER; Artificial intelligence; Software engineering; Domain engineering; Machine learning; Programming language; Domain knowledge; Software; Software development","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":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0003351626,0.0003530686,0.0004210412,0.00030226,0.0001226462,0.0008248946,0.0008361564,0.0001479775,0.000006700196],"category_scores_gemma":[0.0001111756,0.0003649389,0.00008260035,0.0001741329,0.00003304639,0.001060232,0.000327402,0.0003714276,0.000003149997],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001467367,"about_ca_system_score_gemma":0.0001254448,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00008082932,"about_ca_topic_score_gemma":0.000007912853,"domain_scores_codex":[0.9977171,0.00007666716,0.0004134887,0.0008301035,0.0005452723,0.0004173822],"domain_scores_gemma":[0.9979672,0.0004162345,0.0000972788,0.0006526218,0.0006224257,0.0002442226],"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":[0.000018883,0.00005816769,0.000019085,0.00006568076,0.00008675655,0.00003540159,0.001376325,0.8602378,0.004863775,0.1326726,0.00007056841,0.0004949833],"study_design_scores_gemma":[0.0006425154,0.00009113464,0.00003868544,0.0003321154,0.000008219223,0.0000772585,0.0003865469,0.9952661,0.0002874704,0.002418718,0.00006840957,0.0003828516],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1241164,0.0002535615,0.8736577,0.000350036,0.0006836082,0.0003007328,0.00007458393,0.0004420601,0.0001212962],"genre_scores_gemma":[0.9212036,0.0001120244,0.07810623,0.00004206305,0.0001460301,0.0001160013,0.0000751749,0.00004449451,0.0001544253],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.7970871,"threshold_uncertainty_score":0.9998803,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.07182052063672636,"score_gpt":0.340547473686961,"score_spread":0.2687269530502346,"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."}}