{"id":"W4410871398","doi":"10.5267/j.jpm.2025.3.005","title":"The role of artificial intelligence in project management performance: The mediating effects of competence retention and top management support","year":2025,"lang":"en","type":"article","venue":"Journal of Project Management","topic":"Technology and Data Analysis","field":"Computer Science","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Competence (human resources); Psychology; Knowledge management; Applied psychology; Process management; Business; Computer science; Social psychology","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"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":[0.005983571,0.000401467,0.0003254619,0.0009956692,0.001138136,0.003181222,0.000569534,0.0004874848,0.002823767],"category_scores_gemma":[0.02930718,0.0001664949,0.0002884744,0.000910944,0.00121912,0.001212293,0.002611644,0.001052395,0.0002946092],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001103959,"about_ca_system_score_gemma":0.004184216,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003515418,"about_ca_topic_score_gemma":0.003130815,"domain_scores_codex":[0.9934652,0.003917462,0.000302149,0.0003089066,0.001113277,0.0008930065],"domain_scores_gemma":[0.9422033,0.03378271,0.01119186,0.001920951,0.004045932,0.006855197],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0004373053,0.003253711,0.7961652,0.0004086054,0.0004215302,0.0007070553,0.01907335,0.002368675,0.002854244,0.00683979,0.0008819046,0.1665886],"study_design_scores_gemma":[0.00005904961,0.001229934,0.9598402,0.0003732071,0.0001923003,0.0002771811,0.02232319,0.005337706,0.001477698,0.004976428,0.003855091,0.00005806221],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9890126,0.000176141,0.0009572029,0.0005969738,0.00001049416,0.00002893829,0.00001832204,0.000008595552,0.009190699],"genre_scores_gemma":[0.9992288,0.00008069651,0.0003624393,0.00003782032,0.00000627269,0.00001074539,0.000009526611,0.000001391623,0.0002621816],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.005983571,"threshold_uncertainty_score":0.03164458,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.007826316417421864,"score_gpt":0.2606002126207682,"score_spread":0.2527738962033463,"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."}}