{"id":"W1813879887","doi":"","title":"Automatic Conversion of Remote Invocations in Optimization of Distributed Codes","year":2012,"lang":"en","type":"article","venue":"Journal of academic and applied studies","topic":"Distributed and Parallel Computing Systems","field":"Computer Science","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Computer science; Common Object Request Broker Architecture; Distributed object; Asynchronous communication; Remote procedure call; Distributed computing; Middleware (distributed applications); Invocation; Object (grammar); Code (set theory); Programming language; Computer network","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001175181,0.0008111568,0.000807666,0.0013071,0.0006610252,0.0009644676,0.001136838,0.0005576453,0.002637942],"category_scores_gemma":[0.006013298,0.0004764673,0.0006433731,0.0006640691,0.0009850548,0.000957584,0.001163617,0.001204894,0.000889148],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006218475,"about_ca_system_score_gemma":0.0007224659,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001009878,"about_ca_topic_score_gemma":0.0008956732,"domain_scores_codex":[0.9974378,0.0005790782,0.0001574735,0.0004436624,0.001158898,0.0002230532],"domain_scores_gemma":[0.9966619,0.001278076,0.0004050424,0.0009570786,0.0006081891,0.00008975162],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0009476325,0.0003821901,0.004695913,0.0004881293,0.00007529661,0.0008187556,0.001124514,0.1147451,0.1683639,0.05366897,0.003469686,0.6512198],"study_design_scores_gemma":[0.0001446572,0.0003257084,0.002201197,0.00009865044,0.00006933681,0.0007991192,0.0001398825,0.6661898,0.2746318,0.02578854,0.02950106,0.000110197],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.03834065,0.0001675203,0.9455838,0.00007629047,0.000068943,0.0001832134,0.00002643184,0.01203567,0.003517452],"genre_scores_gemma":[0.4255411,0.0001243082,0.5658337,0.00007762122,0.00004248621,0.0002214475,0.0001719793,0.00315305,0.004834245],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.002637942,"threshold_uncertainty_score":0.008824825,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0347296941888047,"score_gpt":0.2972272887635982,"score_spread":0.2624975945747935,"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."}}