{"id":"W2993280551","doi":"10.1109/icsme.2019.00026","title":"Investigating Context Adaptation Bugs in Code Clones","year":2019,"lang":"en","type":"article","venue":"","topic":"Software Engineering Research","field":"Computer Science","cited_by":27,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Saskatchewan","funders":"","keywords":"Cloning (programming); Context (archaeology); Computer science; clone (Java method); Code (set theory); Programming language; Fragment (logic); Source code; Java; Software bug; Software maintenance; Biology; Software; Software system; Genetics; Gene","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":[0.0002903643,0.00005278982,0.00007482557,0.0001019762,0.00001334125,0.00006361183,0.000351818,0.00002917338,0.00002305474],"category_scores_gemma":[0.0004590974,0.00004949899,0.00001280397,0.0003428154,0.00001158103,0.0003311417,0.0001091767,0.0001092753,0.0003074385],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003759121,"about_ca_system_score_gemma":0.00005784955,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003276716,"about_ca_topic_score_gemma":0.0001068954,"domain_scores_codex":[0.9992931,0.00002469516,0.0001173536,0.0001856665,0.0002098032,0.0001693791],"domain_scores_gemma":[0.9991505,0.0004986162,0.00001759184,0.0002452398,0.00003950516,0.00004858396],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00000253059,0.00004500258,0.684454,0.00007483855,0.00001062903,0.00001212133,0.006612334,0.02775979,0.006807138,0.1550935,0.0009324226,0.1181958],"study_design_scores_gemma":[0.000354971,0.00004623519,0.1654072,0.00004166905,2.554467e-7,0.00000312082,0.0001743548,0.8290764,0.002895589,0.001283785,0.0005830131,0.0001334593],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7574912,0.00004199416,0.2409105,0.0004712568,0.0001578839,0.0001197217,1.963333e-7,0.0002112303,0.0005960213],"genre_scores_gemma":[0.9543924,0.00000116421,0.04489137,0.0001566626,0.00001119371,0.000008054288,5.909669e-7,0.000004966054,0.000533612],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.8013166,"threshold_uncertainty_score":0.3951603,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03502270038617235,"score_gpt":0.2691863813511099,"score_spread":0.2341636809649376,"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."}}