{"id":"W2139153947","doi":"10.1109/icsecompanion.2007.64","title":"SEAMS 2007: Software Engineering for Adaptive and Self-Managing Systems","year":2007,"lang":"en","type":"article","venue":"","topic":"Advanced Software Engineering Methodologies","field":"Computer Science","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Victoria; IBM (Canada)","funders":"","keywords":"Computer science; Software; Software engineering; Software system; Operating system","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":[0.00534318,0.0008649795,0.0007092908,0.0009054971,0.0008478829,0.002357921,0.002091779,0.002100742,0.007596362],"category_scores_gemma":[0.006963037,0.0007949228,0.000936017,0.0007668673,0.001119229,0.002709148,0.002717988,0.00297335,0.003125065],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001121208,"about_ca_system_score_gemma":0.003844424,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001662954,"about_ca_topic_score_gemma":0.002019107,"domain_scores_codex":[0.9963021,0.00079213,0.000270896,0.0002501459,0.002105571,0.0002791114],"domain_scores_gemma":[0.9967283,0.0007634371,0.0002203696,0.0007246287,0.001141483,0.0004216799],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.000134665,0.0002821073,0.001115084,0.0009975062,0.0001331865,0.0004347693,0.0011568,0.02603444,0.01828971,0.292734,0.217687,0.4410007],"study_design_scores_gemma":[0.0001139439,0.0002427377,0.0009104416,0.0005430691,0.00004715101,0.0006642625,0.0002136726,0.06125538,0.01257945,0.1054022,0.8179632,0.00006448529],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"other","genre_scores_codex":[0.009011392,0.003121686,0.9391421,0.005493567,0.002039,0.0003788212,0.0002919478,0.00858785,0.03193358],"genre_scores_gemma":[0.05800365,0.004072684,0.8747343,0.001822201,0.0007748426,0.0005985267,0.001991448,0.005146246,0.05285604],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.007596362,"threshold_uncertainty_score":0.02825779,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02256515440985095,"score_gpt":0.259684326497336,"score_spread":0.2371191720874851,"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."}}