{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005010217,0.0006266622,0.0005097983,0.0008452749,0.0007935177,0.002564,0.001470166,0.0007464333,0.0101375],"category_scores_gemma":[0.0008992553,0.0003058232,0.0005949955,0.001135813,0.0004301132,0.002573719,0.002014799,0.0009217014,0.005019792],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008091666,"about_ca_system_score_gemma":0.0009759417,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002876146,"about_ca_topic_score_gemma":0.002840167,"domain_scores_codex":[0.9995489,0.00005488809,0.00005627965,0.0001558416,0.0001163261,0.00006785626],"domain_scores_gemma":[0.9994265,0.00004831361,0.00002964433,0.0002213061,0.0002053504,0.0000688886],"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":[0.001156028,0.0005738628,0.008424642,0.0009470046,0.0002160307,0.001419004,0.001571165,0.04616707,0.04739748,0.2831534,0.08705904,0.5219153],"study_design_scores_gemma":[0.0001289253,0.000627707,0.004220876,0.0002780176,0.0002134786,0.001466332,0.0007276357,0.2907019,0.06514755,0.1640797,0.4722318,0.000176041],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.02921474,0.0007529719,0.8940037,0.001218258,0.0006934701,0.0008389705,0.004289403,0.01401756,0.05497089],"genre_scores_gemma":[0.5909403,0.001908091,0.3105083,0.001357988,0.0003224488,0.001421825,0.01186097,0.001365199,0.08031488],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.0101375,"threshold_uncertainty_score":0.03391331,"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."}}