{"id":"W4394853134","doi":"10.1162/2e3983f5.0d7d9a7b","title":"Review 3: \"From Exposure to Detection: Unraveling the Digital Signature of Infectious Diseases and Patient Behavior Using Smartwatches and Patient Self-Reporting\"","year":2024,"lang":"en","type":"peer-review","venue":"","topic":"Data-Driven Disease Surveillance","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University Health Network","funders":"","keywords":"Medicine; Medical diagnosis; Cohort; Pharyngitis; Smartwatch; Coronavirus disease 2019 (COVID-19); Wearable computer; Intensive care medicine; Infectious disease (medical specialty); Internal medicine; Disease; Computer science; Pathology","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":[0.01291798,0.000954728,0.002591555,0.005577881,0.0008813177,0.004390131,0.002775575,0.002892222,0.01879742],"category_scores_gemma":[0.08590975,0.000602865,0.002268084,0.00420307,0.001846054,0.003607948,0.002669862,0.002507441,0.007862429],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001736721,"about_ca_system_score_gemma":0.01345824,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003589707,"about_ca_topic_score_gemma":0.007689427,"domain_scores_codex":[0.9872391,0.004849423,0.002124521,0.0007547197,0.004715523,0.0003167482],"domain_scores_gemma":[0.9297341,0.03497741,0.006605451,0.0018323,0.02567104,0.00117985],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.000137943,0.00003721438,0.0004942395,0.1647778,0.0006604192,0.0001116052,0.0003927596,0.000111326,0.0004067214,0.003260233,0.3887119,0.4408979],"study_design_scores_gemma":[0.00005805387,0.0000677701,0.001572254,0.1158433,0.0006864862,0.0003522245,0.0001676822,0.00004815796,0.0002044079,0.001190283,0.8797758,0.00003367499],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"review","genre_gemma":"commentary","genre_scores_codex":[0.0003143233,0.941915,0.001155961,0.02644563,0.02179098,0.0004791469,0.0008896027,0.00009492534,0.006914503],"genre_scores_gemma":[0.002705561,0.9755633,0.0009552075,0.009878302,0.006556027,0.0002911843,0.0005635351,0.00005473044,0.003432072],"genre_candidate":"commentary","genre_consensus":null,"teacher_disagreement_score":0.01879742,"threshold_uncertainty_score":0.06831765,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02077658888861129,"score_gpt":0.2961949213300916,"score_spread":0.2754183324414803,"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."}}