{"id":"W2343606968","doi":"10.1007/s10664-015-9416-2","title":"The impact of domain knowledge on the effectiveness of requirements engineering activities","year":2016,"lang":"en","type":"article","venue":"Empirical Software Engineering","topic":"Software Engineering Research","field":"Computer Science","cited_by":28,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Waterloo","funders":"","keywords":"Domain (mathematical analysis); Systems engineering; Computer science; Domain engineering; Engineering; Engineering management; Knowledge management; Software development; Operating system; Mathematics","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":[0.001850643,0.0002800351,0.0003221872,0.0001772537,0.00009178612,0.00005113238,0.001299513,0.00008798475,0.000007362074],"category_scores_gemma":[0.006177712,0.0001335108,0.0002534687,0.0007365993,0.00008510244,0.0002430146,0.000390848,0.0002567236,0.00001174815],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003336532,"about_ca_system_score_gemma":0.0001061313,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001090308,"about_ca_topic_score_gemma":2.822568e-7,"domain_scores_codex":[0.9981112,0.0001772044,0.0003356688,0.0003170192,0.0005002071,0.0005586309],"domain_scores_gemma":[0.9720847,0.02673428,0.00007464522,0.0008845037,0.0001054123,0.0001164836],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0006008644,0.0009518157,0.4620376,0.001599822,0.002209062,0.00005645735,0.002679433,0.1923161,0.2630286,0.03862915,0.002699078,0.03319201],"study_design_scores_gemma":[0.00102891,0.0007846162,0.8663787,0.001481885,0.00001089414,0.00001531296,0.00001104828,0.008511168,0.1193497,0.0006499262,0.001160856,0.0006169888],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.5765483,0.0001757258,0.4224991,0.00006591905,0.0002450846,0.0002148551,0.000005386139,0.0002288922,0.00001673411],"genre_scores_gemma":[0.9974476,0.00001325078,0.002336462,0.000002310294,0.00006109021,0.00007575161,3.824642e-7,0.00003873542,0.00002445149],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4208993,"threshold_uncertainty_score":0.7395745,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02712372993167587,"score_gpt":0.3155331697157048,"score_spread":0.2884094397840289,"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."}}