{"id":"W2026940905","doi":"10.1016/j.infsof.2009.11.003","title":"Studying the impact of uncertainty in operational release planning – An integrated method and its initial evaluation","year":2009,"lang":"en","type":"article","venue":"Information and Software Technology","topic":"Software Engineering Research","field":"Computer Science","cited_by":29,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Calgary","funders":"","keywords":"Staffing; Variance (accounting); Monte Carlo method; Baseline (sea); Process (computing); Computer science; Operations research; Uncertainty analysis; Heuristic; Reliability engineering; Industrial engineering; Sensitivity analysis; Span (engineering); Engineering; Simulation; Statistics; Mathematics; Civil 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":[0.0009966852,0.00007943128,0.0001067318,0.0004890285,0.00007632248,0.0000736722,0.0002421393,0.00009545049,0.000004334228],"category_scores_gemma":[0.002139264,0.00005654586,0.00001209385,0.0006097502,0.00003055285,0.001093906,0.00007023797,0.0002150639,9.601663e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00006897953,"about_ca_system_score_gemma":0.0001525845,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00004961375,"about_ca_topic_score_gemma":0.000003224897,"domain_scores_codex":[0.9992447,0.00007697145,0.0002427305,0.0001014128,0.0002041366,0.0001300502],"domain_scores_gemma":[0.9992278,0.0002568227,0.00006431944,0.0001649747,0.0002590992,0.00002694544],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00002194367,0.00002663189,0.01187088,0.000008343379,0.00001114256,0.000001811439,0.003536603,0.1404864,0.00008708122,0.005743233,0.00002289984,0.838183],"study_design_scores_gemma":[0.0005503133,0.0003027402,0.115159,0.00002637716,0.000002215729,0.00003767633,0.0002320501,0.8798307,0.0001792441,0.00357164,0.00002647084,0.00008152694],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6683812,0.0000936555,0.3308894,0.000256197,0.00001842134,0.000207346,0.000002487696,0.0001437414,0.00000760187],"genre_scores_gemma":[0.9869604,0.000006468357,0.0129369,0.0000552413,0.000004774137,0.00001913706,0.00001487069,0.000001661234,5.739917e-7],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.8381014,"threshold_uncertainty_score":0.2561053,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03909248299080244,"score_gpt":0.3792799754647623,"score_spread":0.3401874924739599,"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."}}