{"id":"W3102671910","doi":"","title":"Ammonia: An Approach for Deriving Project Specific Bug Patterns","year":2020,"lang":"en","type":"article","venue":"Institutional Repositories DataBase (IRDB)","topic":"Software Engineering Research","field":"Computer Science","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Waterloo","funders":"","keywords":"Computer science; Software bug; Java; Software engineering; Commit; Security bug; Software development; Software; Programming language; Database; Operating system; Software security assurance","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":[0.003711978,0.001774281,0.0009642407,0.008057771,0.0008203791,0.00214851,0.002057711,0.001149882,0.00326362],"category_scores_gemma":[0.01764398,0.001151724,0.001796396,0.004220639,0.0007160485,0.002595295,0.002746732,0.001273637,0.001899328],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006998719,"about_ca_system_score_gemma":0.002708113,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005130688,"about_ca_topic_score_gemma":0.008969431,"domain_scores_codex":[0.995043,0.0009488976,0.0006331531,0.001269757,0.001880893,0.0002241316],"domain_scores_gemma":[0.9876282,0.004454043,0.002440932,0.00243588,0.002735056,0.000305799],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0004568784,0.0004333264,0.07563692,0.001564642,0.0004265757,0.001344354,0.003471244,0.0157841,0.0298826,0.01025489,0.02349884,0.8372456],"study_design_scores_gemma":[0.0003247117,0.001045883,0.06149839,0.0007721207,0.000746116,0.004356423,0.002567732,0.6867611,0.0640957,0.03724393,0.140103,0.0004848999],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.02991335,0.0001604584,0.9195612,0.0002647731,0.00007632449,0.0009386027,0.003807656,0.04195278,0.003324803],"genre_scores_gemma":[0.06042698,0.0001224673,0.9294039,0.0001116687,0.00002902576,0.0007237379,0.004923434,0.001586708,0.002672061],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.008057771,"threshold_uncertainty_score":0.01963109,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06341276235819418,"score_gpt":0.2918402594894768,"score_spread":0.2284274971312826,"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."}}