{"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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.001365228,0.0005325013,0.000887419,0.0007119859,0.0001798928,0.0004430225,0.002958084,0.0003889451,0.00002540614],"category_scores_gemma":[0.0001481761,0.0005051155,0.0004232518,0.003237531,0.0001713114,0.000867093,0.002468011,0.0009754423,0.0001031622],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006719137,"about_ca_system_score_gemma":0.0007912784,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001625749,"about_ca_topic_score_gemma":0.0005709706,"domain_scores_codex":[0.9962031,0.0004763466,0.0004170019,0.002086591,0.0002800314,0.0005368802],"domain_scores_gemma":[0.9948714,0.0001465474,0.0006103116,0.003168636,0.0008036285,0.0003994655],"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":[0.00003764228,0.0001229181,0.0648597,0.0001323068,0.001475812,0.0003768611,0.0008310587,0.8644474,0.00003330567,0.0670215,0.00009090032,0.0005705827],"study_design_scores_gemma":[0.0003709535,0.00006561987,0.002361941,0.0001284331,0.0005608044,0.000008240305,0.0003229263,0.9861507,0.00008071426,0.009234787,0.00005670553,0.0006581238],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.3714721,0.0000356628,0.6222239,0.00005627126,0.0001870327,0.0002746796,0.000006055417,0.0003196132,0.005424677],"genre_scores_gemma":[0.9649572,0.000007222624,0.03412841,0.0000265833,0.00007912009,0.000002066858,0.00002285575,0.00002370571,0.0007527896],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.5934851,"threshold_uncertainty_score":0.9997401,"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."}}