{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.01166637,0.002011808,0.001199478,0.006052962,0.00165319,0.005975567,0.003637803,0.002383448,0.004581804],"category_scores_gemma":[0.05814569,0.001350876,0.002852586,0.002976236,0.002144716,0.01084141,0.007201847,0.005334312,0.001524616],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002409293,"about_ca_system_score_gemma":0.00466981,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.007123172,"about_ca_topic_score_gemma":0.008933804,"domain_scores_codex":[0.9843779,0.007328262,0.001238099,0.001852463,0.004761493,0.0004417666],"domain_scores_gemma":[0.9540625,0.02497244,0.002956836,0.01416775,0.003346402,0.0004941312],"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":[0.0003712096,0.0009003106,0.005120311,0.0009766304,0.0002036805,0.0009060501,0.003997297,0.07253293,0.01751573,0.08480281,0.008389241,0.8042839],"study_design_scores_gemma":[0.0001003289,0.0001804544,0.001634285,0.0005115554,0.0001234417,0.0006385575,0.0008463887,0.7396418,0.03595948,0.1630374,0.05717744,0.0001488088],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.01019611,0.0001807387,0.977471,0.0007237373,0.00003121146,0.0002325791,0.0002208671,0.00919034,0.001753513],"genre_scores_gemma":[0.1397086,0.0003368509,0.8548354,0.0001856925,0.00002561123,0.0002187979,0.001791486,0.001027459,0.00187012],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.01166637,"threshold_uncertainty_score":0.06169844,"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."}}