{"id":"W3108180771","doi":"10.1109/mecbme47393.2020.9265158","title":"Intelligent IoT (I<sup>2</sup>oT) Biomedical Wearable System based on Smartphone Application","year":2020,"lang":"en","type":"article","venue":"","topic":"Intravenous Infusion Technology and Safety","field":"Engineering","cited_by":7,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Waterloo","funders":"","keywords":"Wearable computer; Syringe; Computer science; Software deployment; Embedded system; Syringe driver; Health care; Modalities; Smartphone app; Remote patient monitoring; Wearable technology; Human–computer interaction; 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":"codex-gemma-dda1882f352a","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0001456031,0.0001529132,0.0001923447,0.00008890882,0.00008507047,0.00001057205,0.0002165643,0.0002609087,0.0004636953],"category_scores_gemma":[0.00002368188,0.0001353834,0.00005577028,0.0003052026,0.00005211298,0.00001479624,0.00002652835,0.0003101961,0.001829754],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001058239,"about_ca_system_score_gemma":0.00002190537,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001175888,"about_ca_topic_score_gemma":0.000001086345,"domain_scores_codex":[0.9990374,0.00001919179,0.0002804467,0.0002238205,0.0001878606,0.0002513023],"domain_scores_gemma":[0.9994929,0.00004865163,0.00001987616,0.000280126,0.00002477873,0.0001336258],"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":[0.0002401401,0.000397137,0.0002363844,0.001223704,0.0001655506,0.00007918879,0.001181852,0.6790811,0.01692585,0.04532576,0.03410081,0.2210425],"study_design_scores_gemma":[0.0002286628,0.0001257356,0.00002205883,0.00003777974,0.000008134486,0.00000431534,0.0002361659,0.9364002,0.0288872,0.00003637284,0.03386452,0.0001488224],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.03135195,0.00008444708,0.9251944,0.002402289,0.0002069772,0.0004589788,0.0000153847,0.003405257,0.03688034],"genre_scores_gemma":[0.9969911,0.00001527667,0.002036796,0.0006574587,0.0001103247,0.00004981658,0.00001835956,0.00002677833,0.00009410456],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9656391,"threshold_uncertainty_score":0.9989474,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.007150050530685645,"score_gpt":0.1884011375863185,"score_spread":0.1812510870556328,"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."}}