{"id":"W2999579632","doi":"10.1007/s12652-020-01705-9","title":"A situation-aware task model for adaptive real-time systems","year":2020,"lang":"en","type":"article","venue":"Journal of Ambient Intelligence and Humanized Computing","topic":"Real-Time Systems Scheduling","field":"Computer Science","cited_by":6,"is_retracted":false,"has_abstract":false,"ca_institutions":"Ontario Tech University","funders":"","keywords":"Computer science; Task (project management); Adaptation (eye); Overhead (engineering); Scheduling (production processes); Automotive industry; Real-time operating system; Usability; Real-time computing; Distributed computing; Human–computer interaction; Embedded system; Systems engineering","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":[0.001086814,0.0002273674,0.0005618252,0.0001659289,0.0003023162,0.0005195161,0.0008351482,0.00007778901,0.000002727004],"category_scores_gemma":[0.0001342528,0.0002026696,0.0001826761,0.0002692754,0.00004149705,0.000755508,0.0002278782,0.0002421241,0.0000172502],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00008277182,"about_ca_system_score_gemma":0.0001735866,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00002538904,"about_ca_topic_score_gemma":8.534842e-7,"domain_scores_codex":[0.9975416,0.0001074868,0.00113242,0.0003858533,0.0004919531,0.0003406646],"domain_scores_gemma":[0.9972458,0.0003789915,0.001079345,0.000220283,0.0008163702,0.0002592312],"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":[0.0001992791,0.0001270727,0.00007291389,0.0003111475,0.0002725692,0.00006134513,0.04166387,0.8551345,0.01673294,0.06559844,0.001019785,0.01880611],"study_design_scores_gemma":[0.0003009151,0.000505441,0.00001337912,0.0003080798,0.00002922788,0.00009011084,0.0009694091,0.9953645,0.0007594937,0.001403899,0.00004546834,0.0002100187],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.04009955,0.0002696934,0.95844,0.0003010899,0.0003050477,0.0003897872,0.00000241086,0.00006812796,0.0001242933],"genre_scores_gemma":[0.9092274,0.00004375051,0.090094,0.0001429721,0.0004248393,0.000003337172,0.000001170084,0.00001863864,0.00004384777],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.8691279,"threshold_uncertainty_score":0.8264626,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06551607432976236,"score_gpt":0.2813760848787473,"score_spread":0.215860010548985,"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."}}