{"id":"W2073857467","doi":"10.1007/s10270-010-0180-x","title":"A metamodel for the compact but lossless exchange of execution traces","year":2010,"lang":"en","type":"article","venue":"Software & Systems Modeling","topic":"Software System Performance and Reliability","field":"Computer Science","cited_by":18,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Ottawa; Concordia University","funders":"","keywords":"Computer science; TRACE (psycholinguistics); Scalability; Programming language; Interoperability; Reuse; Metamodeling; Software; Software engineering; Variety (cybernetics); Database; World Wide Web; Artificial intelligence","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":[],"consensus_categories":[],"category_scores_codex":[0.001960023,0.0002509672,0.0004826467,0.0001132946,0.0003837469,0.000169465,0.001188397,0.0001893321,0.000002715572],"category_scores_gemma":[0.0001844001,0.0001600279,0.0002608108,0.0002852682,0.00008287916,0.0006166223,0.0001091166,0.0002786539,0.000006954363],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00004438692,"about_ca_system_score_gemma":0.0001491273,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0008855069,"about_ca_topic_score_gemma":0.00004780599,"domain_scores_codex":[0.9978182,0.00008561788,0.0007036934,0.0004830134,0.0004911925,0.0004182393],"domain_scores_gemma":[0.9973803,0.0005429483,0.0003116391,0.001177176,0.0004915821,0.00009635449],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0001336228,0.0003720288,0.0122418,0.004667323,0.0004011875,0.000004223243,0.01012429,0.9151921,0.008523315,0.01449493,0.001198077,0.03264716],"study_design_scores_gemma":[0.0003739222,0.00005155214,0.0001603288,0.0001323576,0.00003736424,0.00002428901,0.0003059773,0.9970004,0.0004574473,0.0005088123,0.0007312837,0.0002162641],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.2340517,0.001419015,0.7609164,0.0001167665,0.002286734,0.0008851067,0.00002936521,0.0002660223,0.00002883242],"genre_scores_gemma":[0.989908,0.00003045122,0.009374751,0.0000268009,0.0003210764,0.0001670204,0.00000597549,0.00002268065,0.0001432023],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.7558563,"threshold_uncertainty_score":0.6525749,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03221588793950747,"score_gpt":0.2680489593244881,"score_spread":0.2358330713849807,"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."}}