{"id":"W3215074957","doi":"10.1109/re51729.2021.00054","title":"DoMoBOT: A Modelling Bot for Automated and Traceable Domain Modelling","year":2021,"lang":"en","type":"article","venue":"","topic":"Service-Oriented Architecture and Web Services","field":"Computer Science","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University","funders":"","keywords":"Computer science; Traceability; Domain (mathematical analysis); Domain model; Software engineering; Domain engineering; Domain analysis; Extractor; Class diagram; Domain-specific language; Completeness (order theory); Unified Modeling Language; Artificial intelligence; Domain knowledge; Software; Programming language; Software development; Component-based software engineering; 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":[0.0002151478,0.0001738313,0.0002089913,0.0000788731,0.000240891,0.0002832283,0.0003873497,0.00007863293,0.000009274595],"category_scores_gemma":[0.000001597288,0.0001529656,0.00007005531,0.000404708,0.00001427902,0.0004003129,0.0001871784,0.00009853607,0.000006559939],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001270594,"about_ca_system_score_gemma":0.00007230858,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001154369,"about_ca_topic_score_gemma":0.00007770029,"domain_scores_codex":[0.9985869,0.00003894868,0.000240377,0.0005622779,0.0001857918,0.0003857405],"domain_scores_gemma":[0.9990919,0.0001579746,0.00005352702,0.0004293574,0.0001386434,0.0001285515],"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":[0.00001312319,0.00005863804,0.00001457111,0.00009760491,0.0000355671,0.0000190134,0.002877627,0.886057,0.001354611,0.1072316,0.00009340848,0.002147184],"study_design_scores_gemma":[0.0005000501,0.00003275753,0.000002360202,0.00003294191,0.000009760789,0.00003771755,0.0002344614,0.9540623,0.004009105,0.03583343,0.005046559,0.0001985581],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.04202066,0.0007617376,0.9527389,0.00144035,0.0001528716,0.0001862528,0.000003442517,0.0006955354,0.002000253],"genre_scores_gemma":[0.2001564,0.00004756524,0.798076,0.001347119,0.00006426315,0.0000283881,0.000009631119,0.00001612201,0.000254439],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.1581358,"threshold_uncertainty_score":0.6237754,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01927110217477796,"score_gpt":0.2363788426934502,"score_spread":0.2171077405186723,"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."}}