{"id":"W3092056003","doi":"10.1108/ijmpb-02-2020-0071","title":"Critical variables and constructs in the context of project management: importance-performance analysis","year":2020,"lang":"en","type":"article","venue":"International Journal of Managing Projects in Business","topic":"Construction Project Management and Performance","field":"Decision Sciences","cited_by":17,"is_retracted":false,"has_abstract":true,"ca_institutions":"Concordia University; Thompson Rivers University","funders":"","keywords":"Project management; Context (archaeology); Process management; Computer science; OPM3; Project management triangle; Originality; Performance management; Performance indicator; Knowledge management; Identification (biology); Business; Engineering; Systems engineering; Psychology; Marketing","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":[],"consensus_categories":[],"category_scores_codex":[0.002696837,0.0001419045,0.0004033528,0.001988489,0.00004356663,0.0002621415,0.001224462,0.00003825264,0.00005333209],"category_scores_gemma":[0.001126735,0.00009619679,0.00008282576,0.004154531,0.0002360866,0.001014258,0.0002144238,0.0002223931,0.000001844973],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0000367725,"about_ca_system_score_gemma":0.0000952503,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00006266871,"about_ca_topic_score_gemma":0.00005781288,"domain_scores_codex":[0.9967912,0.0001637562,0.00121823,0.0002753351,0.001374982,0.000176522],"domain_scores_gemma":[0.9977228,0.0005641448,0.0006315158,0.000194171,0.0008579121,0.00002942808],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0004913253,0.00009412503,0.8407364,0.0001564242,0.0003706479,0.0002661394,0.004843131,0.001221538,0.00001685261,0.02631256,0.0005953536,0.1248955],"study_design_scores_gemma":[0.00392192,0.0001668668,0.8906127,0.0005577566,0.0003786993,0.0003201604,0.03058387,0.05154739,0.0001321957,0.006460793,0.01484778,0.0004698892],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9782298,0.0003233389,0.002714895,0.009292942,0.0007429274,0.0003401694,0.000008442924,0.000009081106,0.008338395],"genre_scores_gemma":[0.9967362,0.0005400752,0.001890549,0.0006988567,0.00009454337,0.000006174188,0.000001824425,0.000005497255,0.0000262684],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1244256,"threshold_uncertainty_score":0.3922791,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.07648528836485287,"score_gpt":0.3628153300613823,"score_spread":0.2863300416965295,"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."}}