{"id":"W7010049739","doi":"","title":"Filling the Gap: Developing Knowledge Management (KM) Maturity Assessment Capability in OPM3 for IT Organizations in Pakistan","year":2015,"lang":"en","type":"dissertation","venue":"HEC National Digital Library","topic":"Construction Project Management and Performance","field":"Decision Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Maturity (psychological); Competitive advantage; OPM3; Capability Maturity Model; Information technology; Project management; Organizational learning; Project management triangle","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001842397,0.00018479,0.0001530239,0.001225377,0.001913264,0.001747003,0.0004682647,0.0004404154,0.002559356],"category_scores_gemma":[0.003509157,0.000137704,0.0002082265,0.001262571,0.0004126494,0.001819159,0.001826171,0.0007596365,0.0002785547],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.004802336,"about_ca_system_score_gemma":0.01407811,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.07348329,"about_ca_topic_score_gemma":0.07394724,"domain_scores_codex":[0.9995149,0.00009037341,0.00004037357,0.00003499577,0.0001157122,0.0002036474],"domain_scores_gemma":[0.9983937,0.0003316639,0.0002560935,0.00003971653,0.0005427644,0.0004360467],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"qualitative","study_design_scores_codex":[0.0001779282,0.0005954078,0.5998849,0.0007025531,0.00002693477,0.00211185,0.06952514,0.001069933,0.001983707,0.01248397,0.007181363,0.3042563],"study_design_scores_gemma":[0.00003696081,0.0007295716,0.6818289,0.001314973,0.00008959197,0.0006442408,0.2556319,0.005370166,0.002595867,0.004367174,0.04731944,0.00007123173],"study_design_candidate":"qualitative","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9826034,0.0003709519,0.0006157612,0.002149467,0.00001429524,0.0001272641,0.0001542881,0.00001481959,0.01394976],"genre_scores_gemma":[0.9968159,0.0002810748,0.001392114,0.0001369704,0.000002866166,0.00003485882,0.00009698755,0.000002114798,0.001237219],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.07348329,"threshold_uncertainty_score":0.1461111,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.08858295671797946,"score_gpt":0.426868624279197,"score_spread":0.3382856675612175,"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."}}