{"id":"W3215176293","doi":"10.1109/re51729.2021.00023","title":"Automated Traceability for Domain Modelling Decisions Empowered by Artificial Intelligence","year":2021,"lang":"en","type":"article","venue":"","topic":"Software Engineering Research","field":"Computer Science","cited_by":9,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University","funders":"","keywords":"Traceability; Computer science; TRACE (psycholinguistics); Domain (mathematical analysis); Tracing; Set (abstract data type); Completeness (order theory); Artificial intelligence; Domain model; Software engineering; Data science; Machine learning; Domain knowledge; Programming language","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":[0.0006756645,0.0001228372,0.0001578623,0.00007018076,0.0001481486,0.0002416466,0.0007045638,0.00008086325,0.00004625024],"category_scores_gemma":[0.001492459,0.0001191639,0.00009084726,0.000689192,0.00003372409,0.0002432964,0.0002064985,0.0001382064,0.00004229593],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00008912539,"about_ca_system_score_gemma":0.000196688,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0000133237,"about_ca_topic_score_gemma":0.000007849145,"domain_scores_codex":[0.9983132,0.00005514602,0.0003201488,0.0005545617,0.0003580544,0.0003988493],"domain_scores_gemma":[0.9960259,0.002779023,0.00002388855,0.0007421169,0.000276434,0.0001526577],"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":[0.00007454185,0.001366688,0.0003936163,0.00008643264,0.0001187252,0.00009769066,0.003130842,0.5161175,0.01866678,0.2306736,0.02758477,0.2016888],"study_design_scores_gemma":[0.00005378342,0.00002885946,0.00003396407,0.000009565754,0.000001244511,0.000005971121,0.00005269218,0.9369186,0.02279859,0.03891276,0.001046639,0.0001373885],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.04487993,0.00009993442,0.951883,0.000784473,0.0002598111,0.0002268416,0.00001106446,0.001790439,0.00006452367],"genre_scores_gemma":[0.4624011,0.000004815291,0.5373787,0.00003232825,0.00001824134,0.00003652145,0.000007352691,0.00001000682,0.0001109199],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.420801,"threshold_uncertainty_score":0.4859363,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06684052606423473,"score_gpt":0.333464535871896,"score_spread":0.2666240098076612,"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."}}