{"id":"W2952692618","doi":"10.48550/arxiv.1508.06203","title":"Integrating Schedulability Analysis with UML-RT","year":2015,"lang":"en","type":"preprint","venue":"arXiv (Cornell University)","topic":"Real-Time Systems Scheduling","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Western University; Trojan Technologies (Canada)","funders":"","keywords":"Computer science; Distributed computing; Unified Modeling Language; Jitter; Scheduling (production processes); Static timing analysis; Object-oriented programming; Object-oriented analysis and design; Object-oriented design; Real-time computing; Software; Embedded system; Programming language","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.006070535,0.001086588,0.0005350714,0.00305264,0.0005345125,0.002104081,0.001371235,0.0008383808,0.003722844],"category_scores_gemma":[0.01215698,0.0006902253,0.00142487,0.0007574265,0.0007858289,0.002416308,0.001066957,0.001269241,0.001706241],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001453378,"about_ca_system_score_gemma":0.002521336,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004224565,"about_ca_topic_score_gemma":0.002663371,"domain_scores_codex":[0.995827,0.001614138,0.0004238102,0.0003957582,0.001458991,0.0002802599],"domain_scores_gemma":[0.9922767,0.004130377,0.0009651033,0.001277723,0.001256773,0.00009329829],"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":[0.000188903,0.0002883312,0.003690268,0.0006560003,0.0001780414,0.0007405769,0.001070936,0.2478759,0.03498575,0.2585774,0.007191077,0.4445569],"study_design_scores_gemma":[0.00004553928,0.00006658777,0.0005928845,0.000178664,0.00008251778,0.000258762,0.0001342576,0.837198,0.02544419,0.09918733,0.03674388,0.00006741691],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.002325765,0.00009240704,0.9916781,0.0001205217,0.00003808691,0.00005253974,0.00004831531,0.0036256,0.002018607],"genre_scores_gemma":[0.08825391,0.0002729684,0.9077459,0.0001008421,0.00008082671,0.0001719031,0.0003344093,0.0009392168,0.002100098],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.006070535,"threshold_uncertainty_score":0.03210449,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.07517917784417777,"score_gpt":0.1987687871463762,"score_spread":0.1235896093021984,"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."}}