{"id":"W4285801926","doi":"10.1177/87569728221114002","title":"Data Analytics and Artificial Intelligence in the Complex Environment of Megaprojects: Implications for Practitioners and Project Organizing Theory","year":2022,"lang":"en","type":"article","venue":"Project Management Journal","topic":"Big Data and Business Intelligence","field":"Business, Management and Accounting","cited_by":40,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Calgary; Okanagan University College; University of British Columbia, Okanagan Campus; University of British Columbia","funders":"","keywords":"Megaproject; Analytics; Data science; Knowledge management; Automation; Information technology; Big data; Business intelligence; Cloud computing; Computer science; Engineering management; Engineering; Management science; 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":[0.002738722,0.0001525056,0.000170948,0.0005506272,0.0006440698,0.000370524,0.0008291713,0.00002104754,0.00006610454],"category_scores_gemma":[0.000128606,0.0001191706,0.00002879357,0.0007832619,0.0001268493,0.0008865662,0.001142503,0.0002393698,0.000001593734],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00004283454,"about_ca_system_score_gemma":0.00003542614,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00007574167,"about_ca_topic_score_gemma":0.00003065371,"domain_scores_codex":[0.998574,0.00007056942,0.0004708386,0.0003496714,0.0002952324,0.0002396652],"domain_scores_gemma":[0.9989284,0.0001572137,0.0004247492,0.0004379343,0.00004485003,0.000006842543],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0004744278,0.00100898,0.005877512,0.0009654604,0.0003211641,0.00002491638,0.001458553,0.0003883543,0.0004822051,0.7026763,0.01765392,0.2686682],"study_design_scores_gemma":[0.000758475,0.0001832298,0.01422824,0.000126589,0.0009836755,0.0002992245,0.07011919,0.0524608,0.00003404377,0.2588682,0.6010594,0.0008788608],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.06439275,0.003410088,0.8525817,0.03680464,0.001296031,0.0170178,0.001326703,0.0002043076,0.02296597],"genre_scores_gemma":[0.9883876,0.001078664,0.00816151,0.00121652,0.0003865696,0.0002424788,0.0004270395,0.00003450183,0.00006513686],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9239948,"threshold_uncertainty_score":0.495373,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.2687766435140381,"score_gpt":0.3641812941512143,"score_spread":0.09540465063717612,"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."}}