{"id":"W7071953711","doi":"","title":"Towards Sustainable AI for Continuous Integration Quality Gates","year":2025,"lang":"en","type":"dissertation","venue":"QSpace (Queen's University Library)","topic":"Software Engineering Research","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Queen's University","funders":"","keywords":"Retraining; Software deployment; Software; Analytics; Quality (philosophy); Process (computing); Scheduling (production processes)","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":[0.01213324,0.001496606,0.001246282,0.001562034,0.001047635,0.006492651,0.00417493,0.002716179,0.003829357],"category_scores_gemma":[0.05513462,0.001153487,0.001166652,0.001747395,0.003920747,0.01087183,0.009115859,0.005885542,0.0016629],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002664855,"about_ca_system_score_gemma":0.004986993,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003651017,"about_ca_topic_score_gemma":0.003594065,"domain_scores_codex":[0.9869811,0.005813743,0.0006686197,0.002497068,0.003092008,0.0009474496],"domain_scores_gemma":[0.9544219,0.03020101,0.003183312,0.006554705,0.004236877,0.001402083],"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":[0.0002117486,0.0004657471,0.008445532,0.001062846,0.0002073994,0.0002772536,0.002026843,0.4656893,0.008710024,0.1832689,0.009176773,0.3204578],"study_design_scores_gemma":[0.00004498223,0.0001524908,0.0006240171,0.0001185718,0.00003726295,0.00009199918,0.0004359191,0.8275275,0.003674174,0.1551661,0.01209403,0.00003290835],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.03224277,0.001127286,0.9502895,0.004992054,0.0001000277,0.0002608713,0.0001678251,0.003103661,0.007716167],"genre_scores_gemma":[0.5284104,0.001309723,0.4621333,0.001302586,0.0001350283,0.0005307404,0.0005943154,0.0008699573,0.00471382],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.01213324,"threshold_uncertainty_score":0.0641675,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.00862043603205215,"score_gpt":0.2450228168828339,"score_spread":0.2364023808507818,"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."}}