{"id":"W2199488367","doi":"10.22260/isarc2013/0070","title":"A Model for Implementing &amp; Continuously Improving the Automated Change Management Process for Construction Mega Projects","year":2013,"lang":"en","type":"article","venue":"Proceedings of the ... ISARC","topic":"Product Development and Customization","field":"Business, Management and Accounting","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Waterloo","funders":"","keywords":"Computer science; Process (computing); Project management; Process management; Quality (philosophy); The Internet; Change management (ITSM); Engineering management; Knowledge management; Business; Operations management; Engineering; World Wide Web; Systems 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":[0.0007378066,0.0002243097,0.0002134807,0.0001633119,0.000604096,0.0003831351,0.0005358772,0.00005804579,0.00001290834],"category_scores_gemma":[0.0001793812,0.0001456835,0.00009832899,0.0004879603,0.00007344601,0.001638572,0.0002973826,0.00007463664,0.000006184885],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00004024919,"about_ca_system_score_gemma":0.00002245095,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00006108831,"about_ca_topic_score_gemma":0.00001372618,"domain_scores_codex":[0.9984451,0.000001748041,0.0004218487,0.0003642798,0.0002894546,0.0004775583],"domain_scores_gemma":[0.998077,0.00001924075,0.0007383743,0.0001320797,0.001023409,0.000009948002],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0009499086,0.0007082027,0.05652096,0.03893564,0.001178399,2.084076e-7,0.01887217,0.0003370248,0.1632383,0.285362,0.1666434,0.2672537],"study_design_scores_gemma":[0.00384575,0.00003314693,0.00360355,0.0004909883,0.0006891667,0.000005576817,0.01040133,0.8972413,0.01529616,0.0501355,0.01725224,0.001005291],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9715688,0.00004385676,0.003446862,0.005056895,0.0005512883,0.01365357,0.000009881483,0.0006562709,0.005012614],"genre_scores_gemma":[0.9877269,0.000002975662,0.006619139,0.0006529044,0.0005593309,0.003497059,0.00002287091,0.00005005379,0.0008688233],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.8969043,"threshold_uncertainty_score":0.5940799,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05054810791494355,"score_gpt":0.2525742930933196,"score_spread":0.202026185178376,"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."}}