{"id":"W4312307983","doi":"10.1145/3524842.3527996","title":"ApacheJIT","year":2022,"lang":"en","type":"article","venue":"","topic":"Software Engineering Research","field":"Computer Science","cited_by":22,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Waterloo","funders":"","keywords":"Computer science; Software; Software bug; Training set; Artificial intelligence; Data modeling; Software engineering; Machine learning; Data mining; Programming language","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":[0.0001656501,0.00002255568,0.00002314783,0.00004984712,0.00007105089,0.00002811387,0.0006454833,0.000003527723,0.0004164128],"category_scores_gemma":[0.00005707744,0.0000223622,0.00001279414,0.0002931041,0.000003646522,0.00006664919,0.000618598,0.00009057743,0.00008422027],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0000349362,"about_ca_system_score_gemma":0.0000209502,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000009700929,"about_ca_topic_score_gemma":1.371001e-7,"domain_scores_codex":[0.9995043,0.00001476676,0.00003039257,0.0001048841,0.0002322918,0.0001133831],"domain_scores_gemma":[0.999569,0.0001243567,0.00000332283,0.0002648618,0.000007779757,0.00003067139],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","study_design_scores_codex":[0.000002928828,0.000149793,0.02648364,0.00001177385,0.00002497487,0.0001496179,0.001334485,0.01241888,0.00208471,0.6704874,0.1609975,0.1258543],"study_design_scores_gemma":[0.0005074374,0.0002854476,0.0498796,0.000001403276,0.000001108033,0.0001626589,0.00008962602,0.2546587,0.004250117,0.007318556,0.6823699,0.0004754066],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.0189629,0.00004584752,0.9711649,0.001301129,0.0002904294,0.00005054939,3.494343e-7,0.00075025,0.007433637],"genre_scores_gemma":[0.9697278,2.495183e-7,0.02599673,0.0001736509,0.00001239539,0.00002544067,2.491013e-7,0.000003082514,0.004060374],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.950765,"threshold_uncertainty_score":0.4559428,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01820738705578956,"score_gpt":0.2498895965072337,"score_spread":0.2316822094514441,"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."}}