{"id":"W1559531086","doi":"10.1007/978-3-642-13054-0_21","title":"Improving Responsiveness, Bug Detection, and Delays in a Bureaucratic Setting: A Longitudinal Empirical IID Adoption Case Study","year":2010,"lang":"en","type":"book-chapter","venue":"Lecture notes in business information processing","topic":"Software Engineering Techniques and Practices","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Calgary","funders":"","keywords":"Agency (philosophy); Bureaucracy; Business; Process management; Government (linguistics); Operations management; Computer science; Engineering; 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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.01035523,0.0004986124,0.0005779502,0.002085845,0.002450556,0.001920591,0.00148325,0.001496408,0.001676158],"category_scores_gemma":[0.0308232,0.0007702436,0.0004943195,0.002021191,0.001608417,0.002087553,0.002049477,0.002261103,0.0004777393],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002790708,"about_ca_system_score_gemma":0.002808531,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01245719,"about_ca_topic_score_gemma":0.01647062,"domain_scores_codex":[0.9938841,0.002992367,0.0004832829,0.000557734,0.001291342,0.0007910886],"domain_scores_gemma":[0.9506099,0.0242628,0.008818448,0.00550038,0.006616988,0.004191458],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.002271075,0.05769497,0.6875257,0.0002957751,0.0001232858,0.001650386,0.1128609,0.001362564,0.00638566,0.001589485,0.001310697,0.1269296],"study_design_scores_gemma":[0.000684877,0.03635915,0.8630278,0.0002620633,0.0002670015,0.001057463,0.07957505,0.007055924,0.005456898,0.001303461,0.00467142,0.000278958],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9992129,0.00003132056,0.0002640671,0.00005123972,0.000002151952,0.00007124854,0.00002461596,0.000008214107,0.000334181],"genre_scores_gemma":[0.9980591,0.00006075875,0.001087159,0.00007247584,0.000005007805,0.000136085,0.00005245455,0.000009570575,0.0005173775],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01245719,"threshold_uncertainty_score":0.05476439,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01900817900095701,"score_gpt":0.2785766045191269,"score_spread":0.2595684255181699,"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."}}