{"id":"W2016639467","doi":"10.1109/iccasm.2010.5623201","title":"A probabilistic-approach based resource allocation algorithm in pervasive computing systems","year":2010,"lang":"en","type":"article","venue":"","topic":"Context-Aware Activity Recognition Systems","field":"Computer Science","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Waterloo","funders":"","keywords":"Computer science; Ubiquitous computing; Idle; Pipeline (software); Probabilistic logic; Node (physics); Distributed computing; Resource allocation; Resource (disambiguation); Algorithm; Router; Task (project management); Construct (python library); Computer network; Artificial intelligence; Operating system; 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":[0.001191308,0.0005834917,0.0008390769,0.000858671,0.0006505839,0.0008585202,0.001432956,0.0007456424,0.001694566],"category_scores_gemma":[0.003643734,0.0004276604,0.0003785762,0.001100514,0.000517431,0.001606103,0.0009015614,0.000760961,0.000352509],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0009892423,"about_ca_system_score_gemma":0.001777925,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.006725582,"about_ca_topic_score_gemma":0.007637947,"domain_scores_codex":[0.9991136,0.0002491326,0.00006026859,0.0001964488,0.0002754098,0.0001051917],"domain_scores_gemma":[0.9991761,0.0004538513,0.0000706018,0.00007775759,0.0001830205,0.00003856165],"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":[0.0001622639,0.00008308539,0.00102866,0.00007577878,0.00005157876,0.0000526826,0.00006636576,0.7708189,0.003163292,0.01598626,0.002098746,0.2064124],"study_design_scores_gemma":[0.00001143088,0.0000144299,0.0001047642,0.000002508124,0.000005395027,0.00001881902,0.000006874216,0.9951448,0.0004608271,0.003669927,0.0005555255,0.000004731451],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.009310651,0.0002783487,0.9886457,0.0001224398,0.00002681213,0.00004652285,0.00002055489,0.0005134087,0.00103564],"genre_scores_gemma":[0.3535212,0.0003063006,0.6429852,0.0001735298,0.0000639459,0.0002005122,0.0001210628,0.0001276957,0.002500616],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.006725582,"threshold_uncertainty_score":0.01337284,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.020341159657031,"score_gpt":0.2395819736280629,"score_spread":0.2192408139710318,"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."}}