{"id":"W4388848588","doi":"10.1145/3631972","title":"Improving Automated Program Repair with Domain Adaptation","year":2023,"lang":"en","type":"article","venue":"ACM Transactions on Software Engineering and Methodology","topic":"Software Testing and Debugging Techniques","field":"Computer Science","cited_by":14,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Calgary","funders":"","keywords":"Computer science; Adaptation (eye); Software engineering; Domain (mathematical analysis)","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":[0.001891975,0.001365682,0.0007650778,0.001112442,0.0003322243,0.0007605039,0.001792322,0.001295458,0.00129568],"category_scores_gemma":[0.009198681,0.0004237179,0.000970391,0.0008138012,0.0005095524,0.002251884,0.001684469,0.001889103,0.00075081],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008632364,"about_ca_system_score_gemma":0.001454559,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005605346,"about_ca_topic_score_gemma":0.004951067,"domain_scores_codex":[0.9987023,0.0004758839,0.00007945977,0.0004385847,0.000188798,0.0001149727],"domain_scores_gemma":[0.9961838,0.001919869,0.000316813,0.0008387172,0.0005895956,0.0001511802],"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":[0.0001949673,0.0006968865,0.01085082,0.000249027,0.0001104778,0.0001539568,0.0002745597,0.5600482,0.01111493,0.001191,0.006024066,0.4090912],"study_design_scores_gemma":[0.00003322095,0.0001211598,0.001284312,0.0000186991,0.00003149474,0.00005521072,0.00007981269,0.9902293,0.004174777,0.00173464,0.002220602,0.00001670773],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.448695,0.002391082,0.518744,0.001013421,0.0002171402,0.0003541045,0.0006842057,0.02243356,0.005467429],"genre_scores_gemma":[0.836714,0.0004856016,0.1574062,0.0005501616,0.00005164696,0.0002282085,0.001762447,0.0003192072,0.002482527],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.005605346,"threshold_uncertainty_score":0.01114541,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.07110201268549876,"score_gpt":0.3170677470212853,"score_spread":0.2459657343357865,"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."}}