{"id":"W4206380024","doi":"10.1109/bigdata52589.2021.9672059","title":"Towards Real-Time Public Health: A Novel Mobile Health Monitoring System","year":2021,"lang":"en","type":"article","venue":"2021 IEEE International Conference on Big Data (Big Data)","topic":"Digital Mental Health Interventions","field":"Psychology","cited_by":8,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Waterloo","funders":"","keywords":"Computer science; Public health; Data collection; Mobile device; Analytics; Public health surveillance; Leverage (statistics); Data science; Internet privacy; Computer security; Medicine; World Wide Web; Artificial intelligence; Nursing","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":[0.0009675919,0.0007622481,0.000745377,0.00153257,0.0005454685,0.001647277,0.00128273,0.001355386,0.005918897],"category_scores_gemma":[0.002055993,0.0003193001,0.0003208236,0.0007360178,0.0002524584,0.001724626,0.001735971,0.0007661822,0.003130989],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004459331,"about_ca_system_score_gemma":0.0006395567,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001396367,"about_ca_topic_score_gemma":0.001377797,"domain_scores_codex":[0.9992878,0.0001271983,0.00007264296,0.0002413117,0.0001927283,0.00007834318],"domain_scores_gemma":[0.9990476,0.0002352936,0.0001200359,0.0001361224,0.0002864543,0.0001744902],"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":[0.002410267,0.001889096,0.04953947,0.0009160224,0.0003014356,0.002093173,0.002272498,0.002892904,0.07655188,0.007685177,0.08534376,0.7681043],"study_design_scores_gemma":[0.001249674,0.004442316,0.0826503,0.0005703843,0.000889999,0.005065666,0.002089612,0.3804295,0.09331137,0.01738761,0.41136,0.0005534315],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.2403606,0.002383213,0.5771981,0.007160814,0.001505977,0.003239556,0.008427256,0.1180336,0.0416909],"genre_scores_gemma":[0.7486033,0.0009590749,0.2199034,0.003926221,0.0007088771,0.001589296,0.005734126,0.0005688962,0.01800683],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.005918897,"threshold_uncertainty_score":0.01980066,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.566682803193613,"score_gpt":0.4768515094347602,"score_spread":0.08983129375885274,"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."}}