{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0009524354,0.0007419272,0.0008536779,0.0005141054,0.0005197401,0.001391084,0.001955896,0.0009203781,0.003003338],"category_scores_gemma":[0.002695408,0.0004405609,0.0009801908,0.0006009243,0.000523057,0.001752706,0.001232379,0.001411819,0.0007343527],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008210635,"about_ca_system_score_gemma":0.001740297,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.008757041,"about_ca_topic_score_gemma":0.008387855,"domain_scores_codex":[0.9993044,0.0002083943,0.00006016483,0.0001578338,0.0001638694,0.0001052189],"domain_scores_gemma":[0.9992689,0.000290257,0.00007619106,0.0001137591,0.0001648768,0.00008591541],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.0001122794,0.00008278847,0.0003641043,0.00005406335,0.00003272257,0.00007158966,0.0001309391,0.9573018,0.001841924,0.02488597,0.0008042904,0.01431742],"study_design_scores_gemma":[0.000006946375,0.00001356578,0.00004154301,0.000002782906,0.000007135281,0.000006408658,0.000007530281,0.9941959,0.0000984812,0.005307829,0.0003078535,0.00000392098],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.01516247,0.0001119001,0.9815654,0.0002256652,0.00006934103,0.00006469289,0.000168212,0.0004509812,0.002181319],"genre_scores_gemma":[0.8007379,0.000323554,0.1934828,0.0001214872,0.00008986483,0.000373945,0.0004110619,0.0001512377,0.004308307],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.008757041,"threshold_uncertainty_score":0.01741219,"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."}}