{"id":"W4406612321","doi":"10.1109/wsc63780.2024.10838960","title":"A Framework of Project Risk Simulation with Event Knowledge Graph","year":2024,"lang":"en","type":"article","venue":"","topic":"Software Engineering Techniques and Practices","field":"Computer Science","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"York University; University of Alberta","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Computer science; Knowledge graph; Graph; Graph theory; Software engineering; Data science; Theoretical computer science; Artificial intelligence; Mathematics","routes":{"ca_aff":true,"ca_fund":true,"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":[0.0002164823,0.00006100749,0.00006214879,0.0001131667,0.00001892951,0.00006754947,0.0001917409,0.00003701597,0.000008012735],"category_scores_gemma":[0.00006811116,0.00004124117,0.00003159749,0.0005990549,0.000008971775,0.0002885837,0.00004967407,0.0001222056,0.000006376792],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000009094532,"about_ca_system_score_gemma":0.00004208538,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000042398,"about_ca_topic_score_gemma":0.000002816717,"domain_scores_codex":[0.999563,0.00002509173,0.00009009521,0.0001526248,0.00009450284,0.00007470961],"domain_scores_gemma":[0.9990644,0.0006188554,0.00002908421,0.0002366514,0.00003565044,0.00001536585],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00002493289,0.0001736697,0.002656923,0.0003992036,0.0001687778,0.00002304311,0.005556239,0.0799669,0.00003526865,0.5565158,0.002470369,0.3520088],"study_design_scores_gemma":[0.00003596025,0.0002373819,0.0006630283,0.0002122069,0.00001531297,0.000005305369,0.000007833748,0.9528378,0.0007296457,0.0200003,0.02513028,0.0001249795],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.002801087,0.0005555169,0.9947033,0.00005287143,0.0001334331,0.0001128822,7.581928e-7,0.0008899619,0.0007502044],"genre_scores_gemma":[0.6461076,0.00002659398,0.353776,0.000004686218,0.00001754599,0.000007996393,1.906215e-7,0.000004149572,0.00005527845],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.8728709,"threshold_uncertainty_score":0.1681766,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01989878016220582,"score_gpt":0.3328580639182248,"score_spread":0.312959283756019,"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."}}