{"id":"W2030315361","doi":"10.1002/pmj.21292","title":"An Empirical Identification of Project Management Toolsets and a Comparison among Project Types","year":2012,"lang":"en","type":"article","venue":"Project Management Journal","topic":"Construction Project Management and Performance","field":"Decision Sciences","cited_by":126,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université du Québec à Montréal","funders":"","keywords":"Project management; Identification (biology); Knowledge management; Sample (material); OPM3; Software project management; Engineering management; Project management triangle; Engineering; Process management; Computer science; Business; Software; Software development; Systems engineering","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.01578681,0.0003132172,0.0004467898,0.008778736,0.001552027,0.002671218,0.001063894,0.0007706459,0.002006296],"category_scores_gemma":[0.1302989,0.0005414934,0.000381893,0.008206134,0.002274244,0.006308721,0.004173985,0.0009157704,0.0003003012],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001639419,"about_ca_system_score_gemma":0.002447194,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001297225,"about_ca_topic_score_gemma":0.002190725,"domain_scores_codex":[0.9760667,0.01124039,0.002443389,0.001962135,0.007187111,0.001100322],"domain_scores_gemma":[0.8264916,0.1143728,0.02848608,0.008922785,0.0187672,0.00295954],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0003666308,0.0006052097,0.7320215,0.0008305519,0.00006201077,0.0003997627,0.1013819,0.0004655627,0.004776625,0.008538379,0.0004845904,0.1500673],"study_design_scores_gemma":[0.00002928702,0.000858832,0.8654459,0.0006395215,0.00002862534,0.001097198,0.1191964,0.001774874,0.001632754,0.004248791,0.005008183,0.00003962378],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9851949,0.000243486,0.007045195,0.0001534141,0.000006695976,0.0002025753,0.00009184241,0.00001117475,0.00705073],"genre_scores_gemma":[0.9900248,0.0002369774,0.008619351,0.00004095615,0.000005503885,0.0004022024,0.00009881229,0.0000129373,0.0005585177],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01578681,"threshold_uncertainty_score":0.08348966,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1356732968373354,"score_gpt":0.4456193325932949,"score_spread":0.3099460357559595,"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."}}