{"id":"W2117757207","doi":"10.5555/2664446.2664448","title":"Towards improving bug tracking systems with game mechanisms","year":2012,"lang":"en","type":"article","venue":"Mining Software Repositories","topic":"Software Engineering Research","field":"Computer Science","cited_by":30,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Waterloo","funders":"","keywords":"Computer science; Agile software development; Tracking system; Quality (philosophy); Tracking (education); Reputation; Software engineering; Computer security; Human–computer interaction; Artificial intelligence","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":[0.04116054,0.00189049,0.001468664,0.008433836,0.001733003,0.007406235,0.004907247,0.002398014,0.002657325],"category_scores_gemma":[0.1769607,0.001551231,0.00145409,0.00354467,0.002581931,0.0129271,0.006134378,0.002924009,0.001155392],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002179718,"about_ca_system_score_gemma":0.00435208,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002730855,"about_ca_topic_score_gemma":0.003816018,"domain_scores_codex":[0.9741469,0.01481429,0.002356687,0.002788761,0.004832205,0.001061138],"domain_scores_gemma":[0.8492488,0.07648979,0.02018537,0.02791947,0.02155519,0.004601403],"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":[0.0007480231,0.00302926,0.07757057,0.001836047,0.0004886329,0.0003031157,0.005530161,0.03334528,0.03749237,0.03639602,0.00770322,0.7955573],"study_design_scores_gemma":[0.0009737936,0.004037373,0.03941377,0.0011049,0.0008780728,0.001039026,0.003641111,0.7403758,0.03698729,0.1188308,0.05214976,0.0005683111],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.2284522,0.001374167,0.7448115,0.00393949,0.0001740057,0.001724744,0.0001815698,0.01449305,0.004849255],"genre_scores_gemma":[0.4161719,0.0003601163,0.5800859,0.0004368475,0.00006574838,0.0006625094,0.0002497169,0.0004272076,0.001540128],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.04116054,"threshold_uncertainty_score":0.2176803,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01602326670564897,"score_gpt":0.2417133949857941,"score_spread":0.2256901282801451,"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."}}