{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.01319285,0.001517521,0.001259575,0.004169062,0.0007146247,0.007287438,0.004250654,0.003279859,0.003818341],"category_scores_gemma":[0.07466955,0.001179684,0.00217961,0.003434626,0.001468751,0.01198662,0.007211522,0.004362829,0.001659031],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002093133,"about_ca_system_score_gemma":0.003795489,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.006804245,"about_ca_topic_score_gemma":0.008394314,"domain_scores_codex":[0.9766381,0.0100916,0.002113365,0.002315477,0.008131225,0.0007102892],"domain_scores_gemma":[0.9443328,0.02789001,0.002851098,0.01588228,0.008249287,0.0007945767],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.001428078,0.001730715,0.008253865,0.001757734,0.0004116949,0.0008772821,0.003771598,0.3817244,0.03201079,0.1817858,0.01068137,0.3755668],"study_design_scores_gemma":[0.00009196109,0.0001527532,0.0005587932,0.0001529647,0.0000548694,0.0001701917,0.0005052374,0.8914197,0.01534205,0.07584001,0.01566264,0.00004882867],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.02132508,0.0002014602,0.9686763,0.0004828885,0.00004344778,0.0004656084,0.001405601,0.005337771,0.002061874],"genre_scores_gemma":[0.1129608,0.0003000137,0.8774647,0.000242811,0.00002138672,0.0005880999,0.006287136,0.0008965097,0.001238626],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.01319285,"threshold_uncertainty_score":0.06977129,"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."}}