{"id":"W1581689476","doi":"10.1002/nem.1851","title":"User‐centric context data collection and provision harnessing Content‐Centric Networking paradigm","year":2013,"lang":"en","type":"article","venue":"International Journal of Network Management","topic":"Caching and Content Delivery","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"","keywords":"Computer science; Computer network; Context management; Bandwidth (computing); Transmission Control Protocol; Data collection; Ubiquitous computing; Network packet; Operating system","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":[0.001881588,0.0004740615,0.0005747497,0.0009672356,0.0007859014,0.001999902,0.001135598,0.0006249713,0.000414978],"category_scores_gemma":[0.002280749,0.000219554,0.0002582602,0.0006737788,0.0005536025,0.002771623,0.001913245,0.0008017455,0.0001813311],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008529799,"about_ca_system_score_gemma":0.001669402,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003358316,"about_ca_topic_score_gemma":0.003525237,"domain_scores_codex":[0.9988175,0.000339054,0.00009857865,0.0001843277,0.0004592513,0.0001012774],"domain_scores_gemma":[0.998322,0.0002940881,0.0001919475,0.0004188824,0.0006145777,0.0001585664],"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":[0.0004236731,0.0005488733,0.01093424,0.0004113585,0.0001804496,0.0009016768,0.002315915,0.05151019,0.1140548,0.1677182,0.0139565,0.6370441],"study_design_scores_gemma":[0.00004490426,0.0002996741,0.004979319,0.0001276776,0.0002071026,0.0009865457,0.0006595739,0.772139,0.07343114,0.06465326,0.0822923,0.0001794638],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.06198933,0.0009715973,0.9267154,0.0007377318,0.000107372,0.0003226593,0.0001023482,0.001703933,0.007349716],"genre_scores_gemma":[0.7449037,0.0005616173,0.2515627,0.0002156108,0.0001116006,0.0001930755,0.0002209437,0.00006322023,0.002167452],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.003358316,"threshold_uncertainty_score":0.009950876,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04015442509620459,"score_gpt":0.2536399134744558,"score_spread":0.2134854883782512,"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."}}