{"id":"W2234748059","doi":"10.1145/2822896","title":"Designing Adaptive Applications Deployed on Cloud Environments","year":2016,"lang":"en","type":"article","venue":"ACM Transactions on Autonomous and Adaptive Systems","topic":"Advanced Software Engineering Methodologies","field":"Computer Science","cited_by":25,"is_retracted":false,"has_abstract":true,"ca_institutions":"York University","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Computer science; Adaptation (eye); Cloud computing; Ranking (information retrieval); Task (project management); Distributed computing; Quality (philosophy); Control (management); Software; Data mining; Machine learning; Artificial intelligence; Systems engineering; Operating system","routes":{"ca_aff":true,"ca_fund":true,"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":[0.0002633622,0.0002437228,0.0002460441,0.0001418268,0.0002740322,0.00004610699,0.0005144745,0.00009155727,0.000002896275],"category_scores_gemma":[0.00004146557,0.0001816846,0.00006401086,0.0001631948,0.0001114729,0.0003033507,0.00002338808,0.0001657009,0.0000638248],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000198293,"about_ca_system_score_gemma":0.00003161855,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001394789,"about_ca_topic_score_gemma":0.00000128248,"domain_scores_codex":[0.998514,0.0001712869,0.000249643,0.0005742782,0.0001907364,0.000300077],"domain_scores_gemma":[0.9976621,0.001323554,0.0001043378,0.0007649183,0.00002376576,0.0001213634],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.00009035561,0.0002446203,0.00001556692,0.00002075893,0.0002260973,0.00001680077,0.0007824318,0.1842146,0.01437359,0.05283346,0.00004627109,0.7471354],"study_design_scores_gemma":[0.02132082,0.02373725,0.007963433,0.005636181,0.0006844598,0.0008905562,0.009097714,0.09969284,0.412472,0.1911975,0.2120599,0.01524742],"study_design_candidate":"design_other","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.0002443503,0.0001974337,0.997932,0.0001637758,0.000374358,0.0005232308,0.00002273232,0.0004463803,0.00009578027],"genre_scores_gemma":[0.6284717,0.00009077921,0.370087,0.00004696487,0.00005695352,0.0004548036,4.176386e-7,0.00002804639,0.0007632406],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.731888,"threshold_uncertainty_score":0.7408884,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04204519625515511,"score_gpt":0.253166825549227,"score_spread":0.2111216292940719,"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."}}