{"id":"W2583118393","doi":"10.5267/j.jpm.2017.1.004","title":"Project manager selection based on project manager competency model: PCA–MCDM Ap-proach","year":2016,"lang":"en","type":"article","venue":"Journal of Project Management","topic":"Collaboration in agile enterprises","field":"Business, Management and Accounting","cited_by":26,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Project manager; Context (archaeology); Multiple-criteria decision analysis; Computer science; Functional manager; Project management; Order (exchange); Selection (genetic algorithm); Basis of estimate; Engineering management; Function (biology); Project stakeholder; Knowledge management; Project management triangle; Process management; Operations research; Business; Project charter; Engineering; Systems engineering; Artificial intelligence","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":[0.002188766,0.000635036,0.0006161609,0.00302473,0.0008011811,0.001396624,0.0009071119,0.0006106494,0.002688623],"category_scores_gemma":[0.00510967,0.0004302098,0.0006495481,0.002733433,0.0004734757,0.0007234081,0.0007807286,0.0007054574,0.0002980178],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001255819,"about_ca_system_score_gemma":0.002705224,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01082158,"about_ca_topic_score_gemma":0.01291311,"domain_scores_codex":[0.9975152,0.001270789,0.00009003739,0.0001803732,0.0007907329,0.0001528244],"domain_scores_gemma":[0.9985142,0.0008599209,0.0001434524,0.00005499324,0.0003734113,0.00005406176],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0001961568,0.0006047299,0.025314,0.0008126297,0.0002424375,0.0006123174,0.001802435,0.6103548,0.005793436,0.0385184,0.006096752,0.3096519],"study_design_scores_gemma":[0.00003630086,0.0001095505,0.005321059,0.00007752986,0.00003357518,0.0001511038,0.0007156014,0.9777915,0.001279037,0.01202785,0.002418568,0.00003833894],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1367002,0.0001770761,0.848563,0.0005942789,0.00002716554,0.0008429181,0.0002656326,0.0001691637,0.01266077],"genre_scores_gemma":[0.6443754,0.0002307886,0.3522147,0.0000506817,0.00001228675,0.0006317417,0.0002140035,0.0000304005,0.002240071],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.01082158,"threshold_uncertainty_score":0.02151716,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02612500652549425,"score_gpt":0.2692850114564314,"score_spread":0.2431600049309371,"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."}}