{"id":"W4413387697","doi":"10.1016/j.infsof.2025.107874","title":"Assessing the impact of tuning parameter in instance selection based bug resolution classification","year":2025,"lang":"en","type":"article","venue":"Information and Software Technology","topic":"Software Testing and Debugging Techniques","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"École de Technologie Supérieure","funders":"","keywords":"Selection (genetic algorithm); Resolution (logic); Computer science; Artificial intelligence; Machine learning; Data mining","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":[0.0004352081,0.00008261146,0.0001121997,0.0007500882,0.0001196493,0.0001149036,0.0002706168,0.0001429731,7.209015e-7],"category_scores_gemma":[0.001262324,0.00006303972,0.00002719058,0.001416421,0.00009305819,0.001042138,0.00005572938,0.0001960045,8.137057e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001145357,"about_ca_system_score_gemma":0.0001463214,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001122308,"about_ca_topic_score_gemma":0.000007182347,"domain_scores_codex":[0.9993069,0.00004591158,0.0003199924,0.0001095809,0.00008556547,0.0001320673],"domain_scores_gemma":[0.9990727,0.000308023,0.0001933804,0.0002678301,0.0001469988,0.00001102744],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.000008133222,0.00002875788,0.4510649,0.0000387364,0.000008364986,2.908145e-7,0.0003391226,0.001063214,0.0001654563,0.01550141,0.000687279,0.5310944],"study_design_scores_gemma":[0.0002591129,0.00005871406,0.2539269,0.0001558142,0.000002917514,0.000008227919,0.00004251878,0.709492,0.0005202645,0.03523827,0.0002021228,0.00009305192],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1330033,0.00004918305,0.8636771,0.0005837962,0.00003485662,0.0001281977,5.067899e-7,0.002328076,0.0001949631],"genre_scores_gemma":[0.8913966,0.00000522528,0.1084428,0.0001168619,0.000001713241,0.00002930091,0.000003216829,0.000001699193,0.000002653668],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.7583933,"threshold_uncertainty_score":0.2570685,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02271485433639512,"score_gpt":0.3239449150073322,"score_spread":0.301230060670937,"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."}}