{"id":"W2034532215","doi":"10.1002/pmj.20191","title":"Identifying Forces Driving PMO Changes","year":2010,"lang":"en","type":"article","venue":"Project Management Journal","topic":"Construction Project Management and Performance","field":"Decision Sciences","cited_by":83,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université du Québec à Montréal","funders":"","keywords":"Charter; PMOS logic; Context (archaeology); Transition (genetics); Process management; Process (computing); Organizational structure; Dynamic capabilities; Knowledge management; Business; Computer science; Political science; Engineering; Management; Chemistry; Economics","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":["scholarly_communication","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.005098575,0.0002391614,0.0002647974,0.001882428,0.00091759,0.002467014,0.001451808,0.0000670862,0.002437895],"category_scores_gemma":[0.0003028357,0.0001799458,0.0001761551,0.001446035,0.0001103568,0.001237078,0.0006066152,0.0006705223,0.0004773794],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003307563,"about_ca_system_score_gemma":0.00003963352,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001135393,"about_ca_topic_score_gemma":0.0002808248,"domain_scores_codex":[0.996293,0.000120127,0.0007161615,0.0004996862,0.001824919,0.0005460706],"domain_scores_gemma":[0.9983019,0.0001646772,0.0005717867,0.0005962008,0.0002472953,0.0001181045],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00002857156,0.00004648967,0.04145944,0.00003462045,0.0001301736,0.00007332917,0.0009662245,0.000008709648,0.0007056445,0.01929472,0.03337962,0.9038724],"study_design_scores_gemma":[0.000880134,0.00008022329,0.02072623,0.00006193144,0.00007952657,0.0003438274,0.004616927,0.002142238,0.0004407483,0.04313466,0.9270098,0.0004838061],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.5510746,0.0002032035,0.02589414,0.00325352,0.01370866,0.001208746,0.000003359828,0.0003045696,0.4043492],"genre_scores_gemma":[0.9428037,0.0005223938,0.01419455,0.0003677345,0.001187888,0.00004536472,0.000002104219,0.00002930372,0.04084691],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.9033886,"threshold_uncertainty_score":0.9985685,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.09890991065824324,"score_gpt":0.3945477929867517,"score_spread":0.2956378823285085,"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."}}