{"id":"W1978517199","doi":"10.1016/j.sysarc.2007.11.004","title":"A quantitative analysis of the .NET common language runtime","year":2008,"lang":"en","type":"article","venue":"Journal of Systems Architecture","topic":"Embedded Systems Design Techniques","field":"Computer Science","cited_by":11,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of New Brunswick","funders":"Natural Sciences and Engineering Research Council of Canada; CMC Microsystems","keywords":"Computer science; Net (polyhedron); Programming language; Parallel computing; Theoretical computer science","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001015721,0.0001609072,0.0007537012,0.00067288,0.000103806,0.00004438325,0.001602994,0.00008933656,0.000003873951],"category_scores_gemma":[0.0001008352,0.00009199428,0.0004960438,0.001749639,0.0001027452,0.0001751767,0.0001542165,0.0004033833,0.000001563397],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00005973058,"about_ca_system_score_gemma":0.0001089387,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002440107,"about_ca_topic_score_gemma":0.00004428593,"domain_scores_codex":[0.9973871,0.00063292,0.0008769763,0.0001592998,0.0007589303,0.0001847832],"domain_scores_gemma":[0.9971511,0.0003192795,0.00143877,0.0007411515,0.0002744752,0.00007520324],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0003567677,0.000932257,0.0922696,0.0009358882,0.01627677,0.002029997,0.301744,0.1398432,0.3403743,0.06974538,0.02937899,0.006112853],"study_design_scores_gemma":[0.00678702,0.009819505,0.341361,0.008935943,0.006486641,0.03934568,0.01401444,0.4125936,0.1277422,0.009531897,0.01873667,0.004645376],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6010392,0.002317693,0.3946636,0.000278098,0.0004208032,0.0002920942,0.00001343615,0.00005204329,0.0009229973],"genre_scores_gemma":[0.9858547,0.00001065678,0.01381001,0.0000505825,0.0000729149,0.000003449271,3.865736e-7,0.000009647702,0.0001876381],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3848155,"threshold_uncertainty_score":0.3751418,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01721380086410277,"score_gpt":0.2710949360554959,"score_spread":0.2538811351913931,"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."}}