{"id":"W2096561545","doi":"","title":"Enabling Software Evolution Via AOP and Reflection Report on the Workshop RAM-SE at ECOOP 2007","year":2013,"lang":"en","type":"article","venue":"","topic":"Advanced Software Engineering Methodologies","field":"Computer Science","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Victoria","funders":"","keywords":"Reflection (computer programming); Computer science; Software evolution; Software; Presentation (obstetrics); Software engineering; Field (mathematics); Event (particle physics); Software review; Middleware (distributed applications); Focus (optics); Software development; Data science; Software construction; Programming language; Database","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":[0.01092061,0.0009608709,0.0006394952,0.0006757228,0.001245454,0.004634102,0.001908882,0.002838728,0.01797989],"category_scores_gemma":[0.007853025,0.0004462475,0.001391485,0.000465734,0.0007660164,0.004347027,0.004523708,0.004742368,0.006642651],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00117244,"about_ca_system_score_gemma":0.00419171,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001665886,"about_ca_topic_score_gemma":0.001979205,"domain_scores_codex":[0.9964437,0.001349944,0.0001487593,0.0004319753,0.001075505,0.0005501407],"domain_scores_gemma":[0.9932707,0.002066769,0.0002221874,0.0007715974,0.002188174,0.001480655],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.001083621,0.002334489,0.002715461,0.0009096056,0.0001495205,0.001453015,0.004817195,0.007364521,0.02708169,0.06005266,0.5805739,0.3114644],"study_design_scores_gemma":[0.0001948031,0.0009169463,0.002192889,0.0006989044,0.0001108637,0.000509461,0.003932169,0.01226041,0.0472637,0.01287674,0.9188504,0.0001925817],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"methods","genre_gemma":"other","genre_scores_codex":[0.1617036,0.01456733,0.4603649,0.08279105,0.03575121,0.002098231,0.002393102,0.006477039,0.2338536],"genre_scores_gemma":[0.3279526,0.01040664,0.2350362,0.008397045,0.005129852,0.00130865,0.008258311,0.004088114,0.3994226],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.01797989,"threshold_uncertainty_score":0.06014872,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05738526012775256,"score_gpt":0.3057172503903343,"score_spread":0.2483319902625817,"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."}}