{"id":"W2601402878","doi":"10.7712/120115.3460.1355","title":"COMPARISON OF INTEGRATION ALGORITHMS FOR REAL-TIME HYBRID SIMULATION USING FREQUENCY DOMAIN-BASED ERROR INDICATORS","year":2015,"lang":"en","type":"article","venue":"","topic":"Real-time simulation and control systems","field":"Engineering","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"","keywords":"Computer science; Frequency domain; Algorithm; Time–frequency analysis; Time domain; Real-time computing; Telecommunications; Computer vision","routes":{"ca_aff":true,"ca_fund":false,"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":[0.0003111921,0.0001628034,0.0003452748,0.0002325102,0.00004057969,0.00003279224,0.00009143449,0.00008696779,0.0000532683],"category_scores_gemma":[0.00004475546,0.0001511344,0.0000947616,0.0001948374,0.00002242803,0.000180288,0.000004909463,0.00005843083,0.00001904402],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001655445,"about_ca_system_score_gemma":0.00006131842,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001217162,"about_ca_topic_score_gemma":0.000007677463,"domain_scores_codex":[0.9987964,0.00004834659,0.000575754,0.0001533851,0.0002473301,0.0001787846],"domain_scores_gemma":[0.9992212,0.000143423,0.0001558137,0.0001975137,0.0001683685,0.0001136907],"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":[0.00002366332,0.00003086525,0.0009130307,0.00002983316,0.0000217632,2.301455e-7,0.0002226468,0.9696417,0.026444,0.000268197,0.0001319146,0.002272092],"study_design_scores_gemma":[0.001171532,0.00007635282,0.0001907787,0.00002966757,0.00002461018,3.747952e-7,0.0002110661,0.9877318,0.009916407,0.0003401815,0.0001442739,0.0001629252],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.3807774,0.00003592026,0.6138057,0.00001098039,0.0001857241,0.0004947513,0.00001623383,0.0002297165,0.004443656],"genre_scores_gemma":[0.9653918,2.333347e-7,0.03433508,0.000007845417,0.00008996796,0.00002119501,0.00008276547,0.00003535483,0.00003576223],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.5846145,"threshold_uncertainty_score":0.6163083,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05980711196209657,"score_gpt":0.3404945742386834,"score_spread":0.2806874622765868,"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."}}