{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006338675,0.00007064349,0.0003243749,0.0001026558,0.00003745738,0.000005903032,0.0002019769,0.00005888129,5.191763e-7],"category_scores_gemma":[0.00008271765,0.00005498349,0.00002969587,0.0002787517,0.00006904997,0.000205725,0.00009421332,0.0001560347,2.330118e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002052974,"about_ca_system_score_gemma":0.00002857067,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000002377884,"about_ca_topic_score_gemma":7.96522e-8,"domain_scores_codex":[0.9990402,0.00004169507,0.0005752422,0.00006016728,0.0001696862,0.0001129971],"domain_scores_gemma":[0.9989527,0.0001823219,0.0006527395,0.00007293045,0.0000982871,0.00004095518],"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":[0.0002659498,0.001003677,0.144563,0.005510999,0.001892849,0.000008746935,0.1112227,0.5034751,0.02296153,0.1164733,0.01243176,0.08019039],"study_design_scores_gemma":[0.006279444,0.0005577664,0.1074811,0.004040142,0.0003132242,0.0002222965,0.02253996,0.8279429,0.02138976,0.006821653,0.00152909,0.0008826755],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.514455,0.004176648,0.4807714,0.0002404341,0.0001543291,0.00008334517,0.000004350835,0.000009452799,0.0001050037],"genre_scores_gemma":[0.9814125,0.0007598753,0.01776641,0.00001626361,0.00003907304,4.092782e-7,0.000001625883,0.000001942861,0.000001860037],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4669575,"threshold_uncertainty_score":0.2242162,"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."}}