{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.005134145,0.001449361,0.0009003467,0.002551528,0.001039541,0.003257118,0.003757169,0.002555974,0.007757266],"category_scores_gemma":[0.01581618,0.001866549,0.002165502,0.001134413,0.00209477,0.005745221,0.007638424,0.003876915,0.003647028],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001989704,"about_ca_system_score_gemma":0.003951855,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.006983076,"about_ca_topic_score_gemma":0.01067596,"domain_scores_codex":[0.9968066,0.000948613,0.0002978481,0.0005768058,0.001124548,0.0002454587],"domain_scores_gemma":[0.9924824,0.003395759,0.0005466681,0.002444185,0.0007587515,0.0003722293],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.001538721,0.00100507,0.01066129,0.002545313,0.0005066999,0.002638565,0.006625543,0.1303803,0.06604818,0.2867497,0.08914821,0.4021525],"study_design_scores_gemma":[0.0001656387,0.0001740195,0.0008301213,0.0004056173,0.00009813243,0.0008726785,0.0003470794,0.6076435,0.02296932,0.08272319,0.2835978,0.0001728541],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.003252949,0.0001020388,0.953601,0.0003841619,0.00007541072,0.0003013148,0.0005866608,0.03823892,0.003457398],"genre_scores_gemma":[0.06057705,0.0004022769,0.9177165,0.0005050309,0.00002702106,0.0005948092,0.003025845,0.009090575,0.008060955],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.007757266,"threshold_uncertainty_score":0.0271523,"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."}}