{"id":"W2018264337","doi":"10.1016/j.im.2013.02.008","title":"Interactive and diagnostic uses of management control systems in IS projects: Antecedents and their impact on performance","year":2013,"lang":"en","type":"article","venue":"Information & Management","topic":"Information Technology Governance and Strategy","field":"Business, Management and Accounting","cited_by":54,"is_retracted":false,"has_abstract":false,"ca_institutions":"HEC Montréal; Carleton University","funders":"Canada Research Chairs","keywords":"Novelty; Task (project management); Control (management); Project management; Management control system; Discretion; Computer science; Knowledge management; Process management; Engineering; Psychology; Systems engineering; Artificial intelligence; Social psychology","routes":{"ca_aff":true,"ca_fund":true,"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":[0.0001992216,0.0002006794,0.000219454,0.0006542961,0.00007242037,0.0002932194,0.0001502748,0.0000533194,0.00003661514],"category_scores_gemma":[0.0000203353,0.0001440505,0.00003023132,0.0002815804,0.00005002309,0.00513873,0.00012796,0.00009757579,0.0001633758],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00005669286,"about_ca_system_score_gemma":0.000003742734,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0004169508,"about_ca_topic_score_gemma":0.000004164138,"domain_scores_codex":[0.9989704,0.000006094109,0.0005025931,0.0001155637,0.000189807,0.0002154822],"domain_scores_gemma":[0.9992352,0.00004264139,0.0004347048,0.0001774848,0.0001000379,0.000009972136],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"observational","study_design_scores_codex":[0.0005239405,0.0003587577,0.1676167,0.008846952,0.0008586537,0.00001083116,0.004421345,0.007946128,0.00001472518,0.1014065,0.01421159,0.6937839],"study_design_scores_gemma":[0.003043345,0.0001083988,0.8604491,0.0008170052,0.00004410262,0.000003418541,0.01180005,0.1155761,0.00005811921,0.0007131697,0.007027707,0.0003593935],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9700823,0.00004390767,0.000411724,0.0002043187,0.000116865,0.00157004,0.000009636814,0.00005993186,0.02750126],"genre_scores_gemma":[0.9983591,0.0002867403,0.00002254132,0.0009915913,0.00001899259,0.000248176,0.0000157363,0.000006121819,0.00005102893],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.6934245,"threshold_uncertainty_score":0.5874207,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.006128326801239854,"score_gpt":0.2048180128367387,"score_spread":0.1986896860354989,"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."}}