{"id":"W4400302466","doi":"10.1002/smr.2710","title":"On the value of instance selection for bug resolution prediction performance","year":2024,"lang":"en","type":"article","venue":"Journal of Software Evolution and Process","topic":"Machine Learning and Data Classification","field":"Computer Science","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"École de Technologie Supérieure","funders":"","keywords":"Computer science; Selection (genetic algorithm); Value (mathematics); Resolution (logic); 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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.01717014,0.001995512,0.002341442,0.004160078,0.001018953,0.003115833,0.002033119,0.002323248,0.001236766],"category_scores_gemma":[0.05377705,0.0003407586,0.001124624,0.002865181,0.001019649,0.00316794,0.0009714845,0.002635324,0.0006159962],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001335819,"about_ca_system_score_gemma":0.001532983,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005705586,"about_ca_topic_score_gemma":0.002779735,"domain_scores_codex":[0.98941,0.005384931,0.0009978234,0.00181758,0.001845386,0.0005441972],"domain_scores_gemma":[0.9131768,0.07392405,0.002700003,0.003794195,0.005389461,0.001015408],"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":[0.005811721,0.002210898,0.1632756,0.0007048326,0.001388163,0.0002775318,0.0002448511,0.3981568,0.004768108,0.001343326,0.01177068,0.4100475],"study_design_scores_gemma":[0.00007464734,0.0006450231,0.01040473,0.00006261477,0.0001949443,0.0001039709,0.0001611309,0.9824054,0.00462374,0.0008189927,0.0004756247,0.00002915264],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9287697,0.007522259,0.05225064,0.001633916,0.0005586926,0.0002831351,0.001606972,0.003044029,0.004330662],"genre_scores_gemma":[0.9776543,0.0003713562,0.0197387,0.0001291823,0.00009562772,0.00006526869,0.001522479,0.00005961542,0.0003634964],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01717014,"threshold_uncertainty_score":0.09080547,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01208088580929729,"score_gpt":0.2595333875728785,"score_spread":0.2474525017635812,"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."}}