{"id":"W2069311670","doi":"10.1109/hicss.2007.11","title":"A Constrained Executable Model of Dynamic System Reconfiguration","year":2007,"lang":"en","type":"article","venue":"","topic":"Advanced Software Engineering Methodologies","field":"Computer Science","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"Carleton University","funders":"","keywords":"Executable; Computer science; Control reconfiguration; Programming language; Unified Modeling Language; Domain (mathematical analysis); Domain model; Representation (politics); Domain-specific language; Programming domain; Programming paradigm; Inductive programming; Embedded system; Software; Process (computing); Mathematics","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":[0.00068902,0.0006981901,0.0003432624,0.0006377368,0.0003890377,0.001762697,0.0014775,0.001154977,0.004794873],"category_scores_gemma":[0.001319941,0.0003524699,0.000593666,0.0004744977,0.001123591,0.002432744,0.0008246998,0.001167948,0.0007641005],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008107666,"about_ca_system_score_gemma":0.00160049,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003273581,"about_ca_topic_score_gemma":0.002978736,"domain_scores_codex":[0.9994987,0.0001134833,0.00003700032,0.0001005406,0.0002029469,0.00004730811],"domain_scores_gemma":[0.9994739,0.000193816,0.00006263261,0.0001425901,0.0000954955,0.00003158816],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00004309504,0.00004577048,0.0002938883,0.00008210386,0.00001396403,0.000477946,0.0004048223,0.2490581,0.008445196,0.7278025,0.001259532,0.01207296],"study_design_scores_gemma":[0.00002903725,0.00003965232,0.0001652182,0.00004101709,0.0000183245,0.0001893512,0.00006200553,0.8310182,0.00400579,0.1338683,0.03053982,0.00002324414],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.01232301,0.000091528,0.9670181,0.0002691543,0.00003279533,0.0001047274,0.000326724,0.00103857,0.01879538],"genre_scores_gemma":[0.3764202,0.0005193193,0.5973749,0.000205409,0.00005822997,0.0009563708,0.001178969,0.0003554738,0.0229312],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.004794873,"threshold_uncertainty_score":0.01604044,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02965786017133945,"score_gpt":0.2783792731843168,"score_spread":0.2487214130129773,"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."}}