{"id":"W4415746161","doi":"10.1109/icsme64153.2025.00078","title":"From First Use to Final Commit: Studying the Evolution of Multi-CI Service Adoption","year":2025,"lang":"","type":"article","venue":"","topic":"Software Engineering Research","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Trent University","funders":"","keywords":"Service (business); Java; Empirical research; Cloud computing","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":[0.009960854,0.000364746,0.0003997939,0.004333962,0.0009365928,0.003155534,0.001302449,0.001027647,0.001267197],"category_scores_gemma":[0.08890326,0.0004696471,0.0003609183,0.004537391,0.001313915,0.004721389,0.002511028,0.001935321,0.000407008],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002293063,"about_ca_system_score_gemma":0.002024312,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01719282,"about_ca_topic_score_gemma":0.01984083,"domain_scores_codex":[0.9929447,0.002264369,0.0005635804,0.001311139,0.002065191,0.0008511223],"domain_scores_gemma":[0.8964525,0.04938479,0.02701279,0.006109078,0.01602909,0.005011732],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001711186,0.0002314789,0.9153777,0.0001030974,0.00006081972,0.0003854284,0.02329135,0.0009226603,0.001381319,0.001109786,0.0007541929,0.05621111],"study_design_scores_gemma":[0.00001111496,0.0002509147,0.9670085,0.00008928358,0.00003036889,0.0003505829,0.02055644,0.007020702,0.0008595625,0.0008274495,0.002937497,0.00005764531],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9971524,0.0001551791,0.001165548,0.0002865169,0.00000553453,0.00002006022,0.0001186415,0.00004122883,0.001054812],"genre_scores_gemma":[0.9980082,0.000090835,0.001292305,0.00003486496,0.000005819361,0.00002777003,0.0002000339,0.00002522041,0.0003149641],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01719282,"threshold_uncertainty_score":0.0526787,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.07298606082396908,"score_gpt":0.3046008764534666,"score_spread":0.2316148156294975,"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."}}