{"id":"W2995834843","doi":"10.1108/jocm-10-2018-0288","title":"Deriving significant factors for managing change in UN","year":2019,"lang":"en","type":"article","venue":"Journal of Organizational Change Management","topic":"Construction Project Management and Performance","field":"Decision Sciences","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"Concordia University; International Civil Aviation Organization","funders":"","keywords":"Confirmatory factor analysis; Originality; Exploratory factor analysis; Mandate; Public sector; Agency (philosophy); Change management (ITSM); Private sector; Value (mathematics); Psychology; Public relations; Knowledge management; Political science; Sociology; Business; Marketing; Social psychology; Computer 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":"codex-gemma-dda1882f352a","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.001723022,0.0001423566,0.0002664013,0.001243855,0.00008506975,0.0001689173,0.0005615765,0.00003571411,0.001533005],"category_scores_gemma":[0.0001594,0.0001119407,0.00009446933,0.001437681,0.00001909595,0.0008837619,0.0001946631,0.00009631715,0.0000640469],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001032408,"about_ca_system_score_gemma":0.00001631824,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00000685855,"about_ca_topic_score_gemma":0.00001050859,"domain_scores_codex":[0.997718,0.00005452131,0.0007462112,0.0002448171,0.001012972,0.0002234268],"domain_scores_gemma":[0.9985168,0.000259067,0.0005840664,0.0002069764,0.0003752591,0.00005782554],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00006514907,0.00009407123,0.9022838,0.00009856882,0.00009620736,0.00001905676,0.00293759,0.000175906,0.00006983848,0.02744617,0.0008383112,0.06587537],"study_design_scores_gemma":[0.002059007,0.0002272216,0.9280568,0.000140163,0.00006138894,0.00001515072,0.006660108,0.005677151,0.0003065271,0.01813928,0.03825602,0.000401222],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9732746,0.0001984319,0.01452082,0.004064354,0.002688508,0.001563356,0.00001105119,0.00002453103,0.003654389],"genre_scores_gemma":[0.9959713,0.0001481558,0.002183546,0.0005037758,0.0003437994,0.00001801222,0.000006725013,0.00001856081,0.0008060765],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.06547415,"threshold_uncertainty_score":0.9993798,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1387539097360279,"score_gpt":0.3505189669097709,"score_spread":0.211765057173743,"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."}}