{"id":"W2109773497","doi":"10.1109/wcre.2000.891464","title":"Towards portable source code representations using XML","year":2002,"lang":"en","type":"article","venue":"","topic":"Software Engineering Research","field":"Computer Science","cited_by":83,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Waterloo","funders":"","keywords":"Computer science; Programming language; XML; Source code; Static program analysis; Code generation; KPI-driven code analysis; Markup language; Domain-specific language; Software portability; Abstract syntax; Software engineering; Domain (mathematical analysis); Software; Software development; Semantics (computer science); 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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001567154,0.00007037917,0.00007509708,0.0001097293,0.00009481635,0.0001625894,0.0005639146,0.00003086199,0.000423559],"category_scores_gemma":[0.0003194034,0.00006802862,0.00003371179,0.0005458935,0.00002030616,0.0003591648,0.000221292,0.0001029805,0.0001817145],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00004428384,"about_ca_system_score_gemma":0.0000249319,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002305383,"about_ca_topic_score_gemma":0.000004608285,"domain_scores_codex":[0.9989879,0.00001853117,0.0001262357,0.0002602665,0.0003266765,0.0002804124],"domain_scores_gemma":[0.9990686,0.0001591854,0.00001878509,0.0005867739,0.00006591776,0.0001008005],"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":[0.000006046254,0.0006253885,0.1200672,0.0001094349,0.0001936666,0.0003617491,0.006901612,0.4513854,0.007025558,0.08125851,0.1426224,0.1894431],"study_design_scores_gemma":[0.0001104656,0.00001620463,0.003697367,0.000005716722,0.000001746817,0.00003710574,0.00001761303,0.9841139,0.002537773,0.0001743129,0.009165492,0.0001222845],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.02353456,0.00008479295,0.9657528,0.000543304,0.0001505722,0.00007404642,7.061546e-7,0.0005423698,0.009316848],"genre_scores_gemma":[0.6999768,0.000008173173,0.2801651,0.000134587,0.00006958861,0.000008959862,7.277138e-7,0.00001541541,0.01962064],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.6855876,"threshold_uncertainty_score":0.4637674,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0672649429835274,"score_gpt":0.3118705757245162,"score_spread":0.2446056327409887,"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."}}