{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.003920279,0.000813391,0.0005550232,0.003286392,0.000664246,0.005139609,0.002060042,0.001689367,0.00293818],"category_scores_gemma":[0.01328503,0.0009288812,0.001055878,0.003235153,0.001147794,0.005417937,0.002884723,0.002599585,0.002451929],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006542419,"about_ca_system_score_gemma":0.001156877,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001014353,"about_ca_topic_score_gemma":0.0008716584,"domain_scores_codex":[0.9976036,0.0007774914,0.0003376454,0.0002527607,0.0009194908,0.0001090297],"domain_scores_gemma":[0.9927599,0.00215026,0.0006885873,0.002661387,0.001604244,0.0001356159],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0001917233,0.0001794924,0.001596613,0.0006712567,0.00008099308,0.001223469,0.003082562,0.02370837,0.02846832,0.4737459,0.01749801,0.4495532],"study_design_scores_gemma":[0.0001300991,0.0001241607,0.001031359,0.0008092126,0.0001071036,0.001308451,0.0008846103,0.2845255,0.07552181,0.3057868,0.3296427,0.0001280915],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.002558031,0.00009024062,0.9900094,0.0002264434,0.00003278597,0.00007094756,0.0002136459,0.005182364,0.001616233],"genre_scores_gemma":[0.03062658,0.0005689231,0.961471,0.0001392296,0.00003823518,0.000236287,0.001708855,0.001770294,0.003440745],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.005139609,"threshold_uncertainty_score":0.02073264,"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."}}