{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001327431,0.001831508,0.0009854209,0.003209016,0.0008812891,0.001766027,0.002467076,0.001392956,0.01017662],"category_scores_gemma":[0.005201681,0.0007075604,0.001248386,0.004571169,0.0005486546,0.00246423,0.002315083,0.001993887,0.01852128],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006649133,"about_ca_system_score_gemma":0.001776014,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01621861,"about_ca_topic_score_gemma":0.02715435,"domain_scores_codex":[0.9979146,0.0002228213,0.0001977581,0.0005520749,0.0007815778,0.0003311625],"domain_scores_gemma":[0.9969489,0.0003998311,0.0003374603,0.001093392,0.0008083949,0.0004121126],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0008120362,0.0002986818,0.01988194,0.0009398079,0.0001845479,0.0003918521,0.0001749842,0.003843427,0.002550687,0.00227777,0.9333205,0.03532377],"study_design_scores_gemma":[0.0005186724,0.0003809426,0.06197231,0.0002732469,0.0001449244,0.0008785501,0.0002696869,0.02389368,0.006397744,0.006010956,0.8990496,0.000209811],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"software","genre_scores_codex":[0.02566523,0.0009599965,0.004687803,0.0004633948,0.0004130878,0.0002735246,0.9252669,0.03173494,0.0105353],"genre_scores_gemma":[0.01590616,0.0001694296,0.004498757,0.000148392,0.00003999696,0.0001741097,0.9761962,0.0009569929,0.001909884],"genre_candidate":"software","genre_consensus":null,"teacher_disagreement_score":0.01621861,"threshold_uncertainty_score":0,"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."}}