{"id":"W1985376335","doi":"10.1109/csmr.2012.25","title":"A Market-Based Bug Allocation Mechanism Using Predictive Bug Lifetimes","year":2012,"lang":"en","type":"article","venue":"","topic":"Software Engineering Research","field":"Computer Science","cited_by":32,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Waterloo","funders":"","keywords":"Computer science; Software bug; Task (project management); Eclipse; Software regression; Software; Schedule; Process (computing); Software engineering; Software development; Software quality; Operating system; Engineering; Systems engineering","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006362544,0.0001133287,0.00009382339,0.0001634782,0.00007399548,0.00008509662,0.0004883516,0.00006181443,0.0001184386],"category_scores_gemma":[0.0003581208,0.0001053036,0.00003801794,0.0003928323,0.00001930151,0.0005739492,0.0001729045,0.0001164304,0.00006835448],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001247113,"about_ca_system_score_gemma":0.0001145233,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00005314182,"about_ca_topic_score_gemma":6.305834e-7,"domain_scores_codex":[0.998746,0.00006536367,0.0001239592,0.0002284521,0.0004201499,0.0004160317],"domain_scores_gemma":[0.998789,0.0004576206,0.0000288901,0.0004458603,0.0001037774,0.0001748975],"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":[0.0003244349,0.003471636,0.3033435,0.0008882603,0.0009217103,0.00009975117,0.01129165,0.0513664,0.1126971,0.3576939,0.05984537,0.09805631],"study_design_scores_gemma":[0.0002292831,0.00005487504,0.02551944,0.00002563546,0.000005750749,0.000008711165,0.00001593045,0.9405064,0.03260849,0.0004830011,0.0003512655,0.0001912083],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.03584374,0.00007265547,0.9621071,0.0002197132,0.0003685056,0.0001765098,9.691477e-7,0.0005527535,0.0006580226],"genre_scores_gemma":[0.8352175,0.00000127828,0.1641439,0.0001031993,0.0001139849,0.00002056847,0.000001054621,0.00001266642,0.0003858102],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.88914,"threshold_uncertainty_score":0.4294158,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02033430767841457,"score_gpt":0.2650024351437539,"score_spread":0.2446681274653393,"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."}}