{"id":"W2055197427","doi":"10.1007/s00766-012-0146-3","title":"Quantifying the impact of requirements definition and management process maturity on project outcome in large business application development","year":2012,"lang":"en","type":"article","venue":"Requirements Engineering","topic":"Software Engineering Techniques and Practices","field":"Computer Science","cited_by":21,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Waterloo","funders":"","keywords":"RDM; Maturity (psychological); Process management; Capability Maturity Model; Process (computing); Quality (philosophy); Service Integration Maturity Model; Computer science; Function (biology); Knowledge management; Business; Engineering; Engineering management; Political science","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":[0.0009102726,0.0001784727,0.0001570645,0.0002313019,0.0000622475,0.00005380571,0.0003288101,0.00004553626,9.68317e-7],"category_scores_gemma":[0.00005045108,0.0001359466,0.00002902784,0.0005618249,0.000006921196,0.0007486767,0.0001623819,0.0001199487,0.000002261322],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001476332,"about_ca_system_score_gemma":0.00001770502,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00002641856,"about_ca_topic_score_gemma":0.000001632582,"domain_scores_codex":[0.9987811,0.0000221921,0.0003482603,0.0002133433,0.0002852574,0.0003497938],"domain_scores_gemma":[0.9994088,0.00005815714,0.0001365332,0.0003193715,0.00003819049,0.00003896156],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00008717654,0.001437385,0.8266773,0.003705577,0.0003963936,0.00001302425,0.005856388,0.01189074,0.003699857,0.08471311,0.00005516452,0.06146789],"study_design_scores_gemma":[0.0004977402,0.00004780129,0.9758728,0.0003625755,0.0000139499,0.000008135918,0.00003482235,0.02013476,0.001932828,0.00008924815,0.0006702655,0.0003350974],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.5005687,0.0002134672,0.4979398,0.00003270148,0.0001354868,0.0007005998,0.000001723051,0.0002165945,0.0001908546],"genre_scores_gemma":[0.9604517,0.00007921338,0.03924697,0.00001238657,0.0000196903,0.0001669434,0.000006135751,0.00001494881,0.000001991617],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4598829,"threshold_uncertainty_score":0.5543741,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1017051465828151,"score_gpt":0.3675075791882169,"score_spread":0.2658024326054018,"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."}}