{"id":"W2755920955","doi":"10.1109/services.2017.17","title":"Wearable IoT Data Architecture","year":2017,"lang":"en","type":"article","venue":"","topic":"IoT and Edge/Fog Computing","field":"Computer Science","cited_by":11,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Saskatchewan","funders":"","keywords":"Computer science; Wearable computer; Traceability; TRACE (psycholinguistics); Internet of Things; Architecture; Human–computer interaction; Real-time computing; World Wide Web; Embedded system; Software 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":[0.0002601792,0.0000744302,0.00008138264,0.00002823246,0.0005697211,0.0007011118,0.004992354,0.00003062225,0.000007946153],"category_scores_gemma":[0.00007309035,0.00005831522,0.00001943525,0.00003920953,0.00003272925,0.0003257447,0.0029803,0.0001175395,0.0002291193],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000005687504,"about_ca_system_score_gemma":0.00003903172,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001203011,"about_ca_topic_score_gemma":0.00000852329,"domain_scores_codex":[0.9991849,0.00001067497,0.0000825611,0.0003458443,0.0001325477,0.0002434622],"domain_scores_gemma":[0.9965925,0.00003117984,0.00005402578,0.003241538,0.00001947297,0.00006134547],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.000001907739,0.00003012674,0.001461764,0.00001142242,0.00001481273,0.00002932437,0.0003102455,0.00003421235,0.0003417894,0.006947724,0.1648432,0.8259735],"study_design_scores_gemma":[0.0003331967,0.00003666198,0.01266853,0.00004508894,0.000004161082,0.00004372013,0.000004077617,0.3127035,0.00142989,0.01419481,0.658181,0.0003552833],"study_design_candidate":"design_other","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.006012728,0.00008155386,0.8484398,0.005147443,0.007287022,0.00006053527,1.953598e-7,0.0002256588,0.132745],"genre_scores_gemma":[0.2629276,0.00001083766,0.7119323,0.001722239,0.007275529,0.000002243429,0.000005470389,0.00002200904,0.01610178],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.8256182,"threshold_uncertainty_score":0.9277118,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.07010165884009942,"score_gpt":0.3033662947009641,"score_spread":0.2332646358608647,"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."}}