{"id":"W3194111178","doi":"10.1007/s00766-021-00360-6","title":"A validation of QDAcity-RE for domain modeling using qualitative data analysis","year":2021,"lang":"en","type":"article","venue":"Requirements Engineering","topic":"Software Engineering Research","field":"Computer Science","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Calgary","funders":"Deutsche Forschungsgemeinschaft; Friedrich-Alexander-Universität Erlangen-Nürnberg","keywords":"Traceability; Domain (mathematical analysis); Computer science; Set (abstract data type); Data mining; Artificial intelligence; Machine learning; Mathematics; Software engineering; 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":[0.001162425,0.0001312948,0.0002641586,0.0003487851,0.00005025656,0.00008387015,0.0007975189,0.00004533295,0.000005428057],"category_scores_gemma":[0.0009812419,0.0001524118,0.00009411534,0.001465668,0.000007678337,0.0006970572,0.0005193903,0.00008449727,7.462656e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001129273,"about_ca_system_score_gemma":0.00008581611,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0000207776,"about_ca_topic_score_gemma":0.000001513082,"domain_scores_codex":[0.9983844,0.00005118925,0.0003530837,0.0004671387,0.0004445287,0.0002996669],"domain_scores_gemma":[0.9981205,0.0004265024,0.00006471728,0.00109128,0.0002280068,0.00006892798],"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":[0.000002073007,0.00002598751,0.0001850111,0.0001255494,0.0004516249,0.000003635897,0.001619182,0.9542206,0.04115885,0.00196742,0.000005166816,0.0002349371],"study_design_scores_gemma":[0.0002218427,0.00001163292,0.00004536855,0.00005441947,0.00006912767,0.000001179891,0.0001524911,0.9863756,0.0126225,0.0002706045,0.00003095395,0.0001443216],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.2351758,0.0001122296,0.7643445,0.00002846741,0.0001039585,0.0001125329,0.000027848,0.00008919051,0.00000544908],"genre_scores_gemma":[0.575291,0.000003113824,0.4245947,0.000002895646,0.00001886445,0.000008294614,0.00006311313,0.00001185251,0.000006148032],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.3401152,"threshold_uncertainty_score":0.6215174,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.2265846632577237,"score_gpt":0.4207023133501867,"score_spread":0.1941176500924629,"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."}}