{"id":"W2328287174","doi":"10.12943/anr.2014.00036","title":"CORBA AND MPI-BASED “BACKBONE” FOR COUPLING ADVANCED SIMULATION TOOLS","year":2014,"lang":"en","type":"article","venue":"AECL Nuclear Review","topic":"Nuclear Materials and Properties","field":"Materials Science","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"Atomic Energy (Canada)","funders":"","keywords":"Common Object Request Broker Architecture; Computer science; Suite; Neutron transport; Component (thermodynamics); Distributed computing; Workstation; Message passing; Implementation; Software engineering; Operating system","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":true,"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":[0.005220366,0.002024202,0.001386579,0.002465566,0.001997536,0.003946065,0.005236548,0.002306195,0.01208474],"category_scores_gemma":[0.009521037,0.001520454,0.002220836,0.002632724,0.001978681,0.004010474,0.006560199,0.005573672,0.007365655],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002362947,"about_ca_system_score_gemma":0.005552578,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01228398,"about_ca_topic_score_gemma":0.005762025,"domain_scores_codex":[0.9946532,0.001405896,0.0005132281,0.0006902779,0.002017602,0.000719777],"domain_scores_gemma":[0.9946155,0.0009030896,0.0003742069,0.002262916,0.001219811,0.000624526],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.001050503,0.0007992305,0.004041319,0.001662246,0.0007302169,0.001017527,0.001880447,0.2480535,0.0380092,0.3918535,0.1105453,0.2003569],"study_design_scores_gemma":[0.0002989448,0.0001808129,0.001232593,0.0002730146,0.000111449,0.0003029997,0.0001488547,0.4754539,0.01793031,0.09213344,0.4116879,0.0002458403],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.003876543,0.0003134278,0.9157407,0.000716902,0.0003492907,0.0006026684,0.0007051917,0.06118879,0.01650638],"genre_scores_gemma":[0.1364462,0.001336541,0.8085884,0.001563538,0.00040839,0.003943639,0.007395975,0.01955792,0.02075929],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.01228398,"threshold_uncertainty_score":0.04042751,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0405863838491748,"score_gpt":0.2869691561893667,"score_spread":0.2463827723401919,"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."}}