{"id":"W2041589121","doi":"10.5555/2820518.2820597","title":"The Firefox temporal defect dataset","year":2015,"lang":"en","type":"article","venue":"Mining Software Repositories","topic":"Software Engineering Research","field":"Computer Science","cited_by":9,"is_retracted":false,"has_abstract":true,"ca_institutions":"Toronto Metropolitan University","funders":"","keywords":"Computer science; Software bug; Process (computing); Software; Plan (archaeology); Data mining; Data science; Geography","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":[0.0009266607,0.0001787685,0.0001518369,0.00005985351,0.0004487527,0.0007945941,0.001472538,0.00007260815,6.525179e-7],"category_scores_gemma":[0.005193688,0.0001277316,0.00006234013,0.0004616471,0.0001127979,0.000498538,0.0006663006,0.0002052199,0.00004495254],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001291738,"about_ca_system_score_gemma":0.0003117793,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001220463,"about_ca_topic_score_gemma":0.00001854511,"domain_scores_codex":[0.9980211,0.0001026214,0.0002501245,0.0004089438,0.0007372245,0.0004800269],"domain_scores_gemma":[0.99619,0.002001552,0.00007508188,0.001303402,0.0002028938,0.00022711],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00002882982,0.00004541553,0.6243598,0.00003807559,0.0001128114,0.0003455057,0.004404947,0.0003171989,0.00003291089,0.0007214803,0.3374398,0.03215317],"study_design_scores_gemma":[0.0006957459,0.0005039898,0.0360738,0.00009639013,0.00002252178,0.000507198,0.0004712188,0.001591546,0.002492768,0.0009219865,0.9557997,0.0008231311],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.2842198,0.008953754,0.6801862,0.001995585,0.01731372,0.0007322601,0.0001293015,0.005941207,0.0005281675],"genre_scores_gemma":[0.8308272,0.00001222447,0.1667002,0.00007236691,0.0008975061,0.0001042779,0.0001263413,0.00005235399,0.001207551],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.6183599,"threshold_uncertainty_score":0.7662289,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03020728126332903,"score_gpt":0.2824005254734659,"score_spread":0.2521932442101369,"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."}}