{"id":"W2159188695","doi":"10.1109/hicss.2011.381","title":"Software Project Risk Drivers as Project Manager Stressors and Coping Resources","year":2011,"lang":"en","type":"article","venue":"","topic":"Software Engineering Techniques and Practices","field":"Computer Science","cited_by":7,"is_retracted":false,"has_abstract":true,"ca_institutions":"HEC Montréal","funders":"","keywords":"Software project management; Stressor; Project manager; Project risk management; Coping (psychology); Project management; Software development; Knowledge management; Computer science; Risk management; Team software process; Process management; Software; Project management triangle; Risk analysis (engineering); Software development process; Engineering; Psychology; Business; Software construction; Systems engineering; Clinical psychology","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":[0.002548886,0.0004871928,0.0002653021,0.0008768945,0.0008574406,0.002761134,0.0004413907,0.000545488,0.001505741],"category_scores_gemma":[0.008841453,0.0002862733,0.0002480553,0.0005258692,0.001620864,0.001716155,0.002938252,0.0008529181,0.0001300616],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006640403,"about_ca_system_score_gemma":0.001427696,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0006553255,"about_ca_topic_score_gemma":0.0007649765,"domain_scores_codex":[0.9974325,0.001410396,0.0001191406,0.0001490041,0.0005329213,0.0003560053],"domain_scores_gemma":[0.9911441,0.003150251,0.002507826,0.0003263202,0.00071737,0.0021541],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0003210183,0.0008383667,0.6863612,0.0006300557,0.0002775786,0.002138836,0.1017223,0.005008903,0.004920813,0.04352231,0.003333459,0.1509251],"study_design_scores_gemma":[0.00007689909,0.001061357,0.7374932,0.0007061998,0.0001447184,0.002859916,0.1583483,0.01292845,0.001523456,0.05614308,0.02848703,0.0002275036],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9750362,0.000607031,0.0110573,0.002370086,0.00003302129,0.00007633551,0.0000453986,0.00002970191,0.01074487],"genre_scores_gemma":[0.9980336,0.0003633056,0.001035891,0.0000838435,0.00001463901,0.00002993538,0.0000238304,0.000004069877,0.0004109217],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.002761134,"threshold_uncertainty_score":0.01347995,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02924038530176754,"score_gpt":0.2590136582050825,"score_spread":0.229773272903315,"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."}}