{"id":"W2521077367","doi":"","title":"Identifying Software Project Risks in the Canadian Financial Services Sector: An International Comparative Study","year":2006,"lang":"en","type":"book","venue":"","topic":"Software Engineering Techniques and Practices","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Context (archaeology); Business; Delphi method; Scope (computer science); Project management; Marketing; Public relations; Accounting; Actuarial science; Engineering; Knowledge management; Political science; Computer science; Geography; Management; Economics","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"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":[0.005273211,0.0006031607,0.000496108,0.009480132,0.01661518,0.004913664,0.001248267,0.0008372714,0.002443172],"category_scores_gemma":[0.01239003,0.0004462631,0.0004464273,0.01804214,0.002776186,0.001729718,0.002730698,0.001313076,0.0002169319],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.07767318,"about_ca_system_score_gemma":0.08735765,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9835174,"about_ca_topic_score_gemma":0.9918153,"domain_scores_codex":[0.9954756,0.0005640564,0.0001899207,0.0002884308,0.001740386,0.001741651],"domain_scores_gemma":[0.9876686,0.001822975,0.001857623,0.0002772379,0.006175254,0.002198344],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0002268074,0.0004848872,0.6745718,0.0004312463,0.00007269748,0.002761661,0.2335093,0.0003811846,0.0007667017,0.004520304,0.004629848,0.07764354],"study_design_scores_gemma":[0.000009151952,0.0001548606,0.6087369,0.000329117,0.00004462669,0.0006195511,0.3740512,0.0003883505,0.0001946167,0.0001163317,0.0152901,0.00006526446],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9904256,0.00075142,0.00009605247,0.0007024039,0.00001130061,0.00007336117,0.0002050644,0.000004742929,0.007730015],"genre_scores_gemma":[0.996365,0.001709943,0.0003034589,0.0001611981,0.000004893211,0.0000260951,0.0001633073,0.000004283899,0.001261849],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.07767318,"threshold_uncertainty_score":0.563561,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1045187530304675,"score_gpt":0.3614773599430943,"score_spread":0.2569586069126268,"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."}}