{"id":"W4400421435","doi":"10.1016/j.procs.2024.06.069","title":"Triage Software Update Impact via Release Notes Classification","year":2024,"lang":"en","type":"article","venue":"Procedia Computer Science","topic":"Software Engineering Research","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Polytechnique Montréal","funders":"","keywords":"Computer science; Triage; Categorization; Classifier (UML); Software; Machine learning; Process (computing); Artificial intelligence","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":[0.002625735,0.001368551,0.0007434028,0.005830434,0.0005111127,0.001660108,0.001327363,0.0009418403,0.00204491],"category_scores_gemma":[0.02438559,0.000250078,0.0005408855,0.00219652,0.0002359254,0.001685045,0.0010316,0.001936096,0.002371884],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006444929,"about_ca_system_score_gemma":0.0009105045,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004712542,"about_ca_topic_score_gemma":0.007169662,"domain_scores_codex":[0.9973828,0.0004200401,0.0003995466,0.0005931715,0.001019026,0.0001853516],"domain_scores_gemma":[0.9783392,0.009673639,0.005405713,0.00139315,0.004349625,0.0008387136],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"observational","study_design_scores_codex":[0.001342749,0.0008456918,0.4000156,0.000483801,0.0002063924,0.0007417471,0.0005345443,0.0173893,0.008553639,0.0005917487,0.02629297,0.5430019],"study_design_scores_gemma":[0.0001314405,0.001760807,0.2725135,0.0003623108,0.0003044429,0.001931655,0.001759076,0.6748571,0.02432952,0.003086428,0.0187279,0.0002357568],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8110056,0.003174898,0.1504183,0.001980114,0.001318745,0.001628529,0.01103358,0.01108447,0.008355836],"genre_scores_gemma":[0.9041005,0.0008762661,0.07979779,0.0002650354,0.0004241739,0.0002774127,0.009877244,0.0001787797,0.004202802],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.005830434,"threshold_uncertainty_score":0.01388639,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02340600854374134,"score_gpt":0.3028551375921746,"score_spread":0.2794491290484333,"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."}}