{"id":"W3092355216","doi":"10.1109/re48521.2020.00044","title":"Towards Queryable and Traceable Domain Models","year":2020,"lang":"en","type":"article","venue":"","topic":"Software Engineering Research","field":"Computer Science","cited_by":14,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University","funders":"","keywords":"Computer science; Rotation formalisms in three dimensions; Domain engineering; Domain model; Domain (mathematical analysis); TRACE (psycholinguistics); Software engineering; Domain analysis; Domain-specific language; Metric (unit); Artificial intelligence; Software development; Formalism (music); Software; Programming language; Domain knowledge; Component-based software engineering; Software construction; 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":[0.000151262,0.00006605294,0.0000837008,0.00003143264,0.00003609852,0.0001360564,0.0003982121,0.00002894703,0.00002764954],"category_scores_gemma":[0.00007992944,0.00005822804,0.00001639455,0.0002688595,0.00001528494,0.0004589175,0.000246063,0.0000939936,0.00003743535],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001399501,"about_ca_system_score_gemma":0.00004702063,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00004817253,"about_ca_topic_score_gemma":7.682407e-7,"domain_scores_codex":[0.9992477,0.00001384031,0.00007294521,0.0002450185,0.0002072246,0.0002132369],"domain_scores_gemma":[0.9994903,0.00009670136,0.000006667945,0.000200397,0.0000254429,0.0001804479],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00001530501,0.00006857883,0.002084923,0.0001719661,0.00004814731,0.0001316742,0.006588253,0.03265843,0.00485967,0.8579066,0.03229904,0.06316743],"study_design_scores_gemma":[0.0002733211,0.00008218603,0.000647848,0.000005391757,8.367922e-7,0.00001115246,0.0000314959,0.9688718,0.00328296,0.02012627,0.006497556,0.0001691662],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.01501378,0.0001632143,0.9743306,0.005008891,0.00003566349,0.00007124758,4.514239e-7,0.0004251485,0.004951013],"genre_scores_gemma":[0.7127166,0.00001084603,0.286286,0.0005280574,0.00003244978,0.00000789653,2.256111e-7,0.000007642422,0.0004102975],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.9362134,"threshold_uncertainty_score":0.237447,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03431804165586858,"score_gpt":0.2462206833320708,"score_spread":0.2119026416762022,"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."}}