{"id":"W4378373692","doi":"10.1109/icst57152.2023.00018","title":"Embedding Context as Code Dependencies for Neural Program Repair","year":2023,"lang":"en","type":"article","venue":"","topic":"Software Engineering Research","field":"Computer Science","cited_by":8,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia","funders":"","keywords":"Computer science; ENCODE; Embedding; Source code; Code (set theory); Graph; Dependency graph; Artificial intelligence; Programming language; Theoretical computer science; Representation (politics); Natural language processing","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":[0.0004293417,0.001169124,0.0005522586,0.001362527,0.0003745042,0.0004182088,0.001528684,0.001047109,0.001869097],"category_scores_gemma":[0.003322507,0.0004851383,0.0007487137,0.0008756266,0.0006582688,0.001970896,0.0008842402,0.001923607,0.0004525474],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001051242,"about_ca_system_score_gemma":0.001073674,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.008918107,"about_ca_topic_score_gemma":0.01916161,"domain_scores_codex":[0.9996468,0.00006492819,0.0000181272,0.0001546208,0.00007068337,0.00004490788],"domain_scores_gemma":[0.998922,0.0005125563,0.0001690082,0.0001957839,0.0001495563,0.00005119618],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0002194286,0.0001890794,0.003687191,0.0002282589,0.0000738347,0.0001628869,0.0001387615,0.5887717,0.01227319,0.007989535,0.004607982,0.3816581],"study_design_scores_gemma":[0.000007357629,0.00004000455,0.0003749672,0.00001153006,0.00001661235,0.00002254546,0.00001455565,0.9864513,0.002642889,0.009624777,0.0007860411,0.000007463495],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.141648,0.001817208,0.8426518,0.0007359171,0.0001282679,0.00007411332,0.000805675,0.01031655,0.001822343],"genre_scores_gemma":[0.8164232,0.0005989727,0.1769055,0.0002779455,0.00006682975,0.000108307,0.002098424,0.0005311125,0.002989757],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.008918107,"threshold_uncertainty_score":0.01773238,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04859496328150169,"score_gpt":0.3578197693393004,"score_spread":0.3092248060577987,"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."}}