{"id":"W4200347941","doi":"10.3389/fpubh.2021.756675","title":"NextGen Public Health Surveillance and the Internet of Things (IoT)","year":2021,"lang":"en","type":"article","venue":"Frontiers in Public Health","topic":"Mobile Health and mHealth Applications","field":"Health Professions","cited_by":35,"is_retracted":false,"has_abstract":true,"ca_institutions":"Research Institute for Aging; University Health Network; University of Toronto; University of Waterloo","funders":"Ontario Centres of Excellence","keywords":"Computer science; Data science; Big data; Internet of Things; Wearable computer; Public health surveillance; Computer security; Public health; Data mining","routes":{"ca_aff":true,"ca_fund":true,"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":[0.006096143,0.0006179261,0.0005530461,0.004130381,0.00129005,0.005058458,0.001399521,0.00241468,0.004447831],"category_scores_gemma":[0.01030106,0.0003519341,0.0007388185,0.004664067,0.001954831,0.006825568,0.004740586,0.00231393,0.001097638],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002032287,"about_ca_system_score_gemma":0.003518336,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004212295,"about_ca_topic_score_gemma":0.00532968,"domain_scores_codex":[0.9961008,0.00190125,0.0002307771,0.0004784626,0.001085827,0.0002029496],"domain_scores_gemma":[0.9887122,0.006966214,0.0009496809,0.001195853,0.001789619,0.0003864938],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.0001520624,0.0001251433,0.02131516,0.00311052,0.0001670311,0.0009079347,0.004311593,0.00175441,0.002454928,0.273107,0.07326007,0.619334],"study_design_scores_gemma":[0.00001738613,0.0001149373,0.01215175,0.00427567,0.0001053594,0.001289985,0.004654285,0.004794683,0.001774607,0.1564417,0.8142722,0.0001075668],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.03500572,0.1810683,0.3183688,0.1643522,0.009837246,0.001020332,0.008662631,0.002829694,0.2788551],"genre_scores_gemma":[0.3849671,0.1538285,0.3807776,0.04236497,0.007898762,0.001101649,0.009111439,0.0004853387,0.01946461],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.006096143,"threshold_uncertainty_score":0.03223985,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06125184113713456,"score_gpt":0.378422728443622,"score_spread":0.3171708873064875,"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."}}