{"id":"W3187014496","doi":"10.1177/2327857921101027","title":"Optimizing Public Health Data Collection From Internet of Things Sensors: An Integrated Data-Sharing Platform","year":2021,"lang":"en","type":"article","venue":"Proceedings of the International Symposium on Human Factors and Ergonomics in Health Care","topic":"Artificial Intelligence in Healthcare","field":"Health Professions","cited_by":3,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Waterloo","funders":"","keywords":"Data collection; Internet of Things; Data sharing; Computer science; The Internet; Internet privacy; World Wide Web; Public health; Data science; Sociology; Medicine","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":[0.001822863,0.000275404,0.0006069044,0.0002330818,0.0006363465,0.00009235588,0.002341253,0.0002253888,0.00008657837],"category_scores_gemma":[0.0007098781,0.0002328363,0.000055461,0.0003047998,0.0001146502,0.001180054,0.002270879,0.001079743,0.00000194286],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001721222,"about_ca_system_score_gemma":0.001026254,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.05483653,"about_ca_topic_score_gemma":0.01565644,"domain_scores_codex":[0.9959889,0.0001046778,0.001939715,0.001005337,0.0004353418,0.000526009],"domain_scores_gemma":[0.9960265,0.0004096996,0.001635139,0.000801736,0.0008807337,0.0002462142],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"qualitative","study_design_scores_codex":[0.0004976169,0.0003182598,0.8183563,0.002005075,0.0001578015,0.000001002862,0.1570899,0.0001300259,0.001434162,0.01481122,0.002272464,0.002926131],"study_design_scores_gemma":[0.00263736,0.001573343,0.09945593,0.0159127,0.00006409259,0.00001267696,0.6115511,0.2164654,0.01459688,0.003681657,0.03243117,0.001617669],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9919084,0.0002693361,0.00003110121,0.004308036,0.001508069,0.0006927844,0.0007787432,0.00004731319,0.0004562142],"genre_scores_gemma":[0.9943224,0.0005199393,0.001776366,0.001165808,0.0002039767,0.00002026885,0.001852598,0.00004650876,0.00009216691],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.7189004,"threshold_uncertainty_score":0.9514574,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.2922159358691342,"score_gpt":0.4370832069141898,"score_spread":0.1448672710450556,"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."}}