{"id":"W4410610020","doi":"10.1145/3735635","title":"Do Current Language Models Support Code Intelligence for R Programming Language?","year":2025,"lang":"en","type":"article","venue":"ACM Transactions on Software Engineering and Methodology","topic":"Data Mining Algorithms and Applications","field":"Computer Science","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia, Okanagan Campus; University of British Columbia","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Computer science; Programming language; Current (fluid); First-generation programming language; Programming paradigm","routes":{"ca_aff":true,"ca_fund":true,"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":[0.01116732,0.00242876,0.001353953,0.001925926,0.0006105962,0.004530548,0.004706239,0.001995427,0.005196334],"category_scores_gemma":[0.07583054,0.001201782,0.002730059,0.002203945,0.001309883,0.008976677,0.002676314,0.004779557,0.01260832],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001311418,"about_ca_system_score_gemma":0.003919497,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.006750903,"about_ca_topic_score_gemma":0.01255785,"domain_scores_codex":[0.9898946,0.004841242,0.0006737486,0.00281694,0.001365199,0.0004082793],"domain_scores_gemma":[0.9589766,0.02426931,0.002316685,0.009268465,0.004369041,0.0007998653],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"observational","study_design_scores_codex":[0.001522894,0.0005156604,0.02658674,0.003757023,0.001038878,0.0003720633,0.001272316,0.1033478,0.01057871,0.02433263,0.2161329,0.6105424],"study_design_scores_gemma":[0.0002994816,0.0003621305,0.0044401,0.000599706,0.0003168162,0.0004869686,0.0003276101,0.8213017,0.009557451,0.0435655,0.1185524,0.0001900633],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.07293957,0.007815368,0.7034459,0.01262981,0.001451355,0.0004997241,0.01824845,0.1673069,0.01566294],"genre_scores_gemma":[0.3224582,0.004082103,0.5804629,0.006999962,0.0005595901,0.001172994,0.05729927,0.01872495,0.008240093],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.01116732,"threshold_uncertainty_score":0.05905914,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.09567141734564485,"score_gpt":0.3793546117616725,"score_spread":0.2836831944160276,"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."}}