{"id":"W1532682111","doi":"10.1109/mobserv.2015.60","title":"Enabling Sensor Data Exchanges in Unstable Mobile Architectures","year":2015,"lang":"en","type":"article","venue":"","topic":"IoT and Edge/Fog Computing","field":"Computer Science","cited_by":7,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Saskatchewan","funders":"","keywords":"Computer science; Cloud computing; Mobile device; Wearable computer; Wireless; Wearable technology; Mobile computing; Mobile telephony; Mobile cloud computing; Mobile broadband; Computer network; Embedded system; Telecommunications; Mobile radio; 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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000682983,0.000105497,0.0001310513,0.000156576,0.00005188004,0.0001643429,0.00134179,0.00003794795,0.000002982523],"category_scores_gemma":[0.00007582807,0.00008722465,0.00001436983,0.0003996464,0.00001853957,0.0002668186,0.001359252,0.000128638,0.00005864514],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002808613,"about_ca_system_score_gemma":0.0000816423,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003420142,"about_ca_topic_score_gemma":0.00005395133,"domain_scores_codex":[0.9987966,0.00005646081,0.0001562018,0.0004243307,0.0002007811,0.0003656628],"domain_scores_gemma":[0.9987789,0.00009971877,0.0000339215,0.0009415875,0.0000392223,0.0001066545],"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":[0.0000261128,0.0002925796,0.007699802,0.00008824548,0.00003313755,0.0002463521,0.01918057,0.01398105,0.001328532,0.002133364,0.1337129,0.8212774],"study_design_scores_gemma":[0.0007354231,0.0001154056,0.000411194,0.00005046445,0.000003218645,0.00005419217,0.0004568662,0.6835534,0.004696759,0.004092828,0.3053547,0.0004755055],"study_design_candidate":"design_other","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.5256478,0.001470288,0.4270489,0.001597538,0.00939989,0.0004773024,0.00000117976,0.0007892373,0.03356786],"genre_scores_gemma":[0.6775132,0.00002106699,0.3129646,0.001239275,0.004111765,0.00002103572,0.00002463365,0.0000340833,0.004070303],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.8208019,"threshold_uncertainty_score":0.3556918,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1041186841984937,"score_gpt":0.3044017988504689,"score_spread":0.2002831146519751,"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."}}