{"id":"W1541157550","doi":"10.18046/syt.v9i18.1076","title":"On Designing Self-Adaptive Software Systems","year":2011,"lang":"en","type":"article","venue":"Sistemas y Telemática","topic":"Advanced Software Engineering Methodologies","field":"Computer Science","cited_by":5,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Victoria","funders":"","keywords":"Computer science; Software; Process (computing); Feedback loop; Software development; Software system; Class (philosophy); Software requirements; Software sizing; Software construction; Software engineering; Control engineering; Artificial intelligence; Engineering; Programming language","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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0007020874,0.0002821301,0.000358896,0.0001618708,0.0001493597,0.00007590983,0.001029491,0.000118645,0.000007869603],"category_scores_gemma":[0.001096108,0.0002502481,0.00009733253,0.0003888459,0.00004716319,0.0003599793,0.000234458,0.0002599747,0.0001603668],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001339846,"about_ca_system_score_gemma":0.00006067009,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000007901753,"about_ca_topic_score_gemma":3.990812e-7,"domain_scores_codex":[0.9979371,0.0002791298,0.0003413749,0.0005782822,0.0003488372,0.0005152359],"domain_scores_gemma":[0.9969303,0.001699152,0.000136378,0.0009675019,0.0001214992,0.0001451427],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.00006135538,0.0002831729,0.0003230531,0.0003984294,0.0002673176,0.0003898762,0.005788698,0.01674951,0.0003609875,0.9599535,0.0009211184,0.01450297],"study_design_scores_gemma":[0.005953201,0.01178938,0.01513644,0.004699514,0.0005222863,0.001362919,0.002952636,0.09639824,0.08788971,0.7470226,0.01367642,0.0125967],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.0005109739,0.0003064376,0.9922886,0.00001555272,0.0009629013,0.0003042889,0.000001701314,0.002734071,0.002875429],"genre_scores_gemma":[0.1740163,0.000006070598,0.8255963,0.0000640633,0.00004732898,0.00007128431,4.567501e-7,0.00002934722,0.0001688756],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.212931,"threshold_uncertainty_score":0.999995,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06119742688561809,"score_gpt":0.2482278066565802,"score_spread":0.1870303797709622,"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."}}