{"id":"W3017126946","doi":"10.2196/18576","title":"Surveillance of COVID-19 in the General Population Using an Online Questionnaire: Report From 18,161 Respondents in China","year":2020,"lang":"en","type":"article","venue":"JMIR Public Health and Surveillance","topic":"COVID-19 epidemiological studies","field":"Mathematics","cited_by":62,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"European Commission","keywords":"Outbreak; Population; Pandemic; Medicine; Demography; Coronavirus disease 2019 (COVID-19); China; Environmental health; Computer-assisted web interviewing; Disease; Geography; Infectious disease (medical specialty); Internal medicine; Virology; Statistics","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002016565,0.000349728,0.0003084486,0.001276852,0.0004647021,0.0004821247,0.0003701053,0.0004577464,0.001038935],"category_scores_gemma":[0.00264913,0.0002709218,0.0003406795,0.001319171,0.0004155439,0.0007689716,0.0006779329,0.0003576202,0.0002353837],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007500044,"about_ca_system_score_gemma":0.0008248499,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02210809,"about_ca_topic_score_gemma":0.01527366,"domain_scores_codex":[0.999144,0.0002178962,0.0001419942,0.0001523001,0.0001801258,0.0001637839],"domain_scores_gemma":[0.9980141,0.0002933329,0.0008012597,0.000104495,0.0003370852,0.0004497301],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00001278512,0.00003366272,0.9972881,0.00002777451,0.000009165319,0.00006499566,0.0007619905,0.00001291892,0.0001567816,0.000005736243,0.00009018299,0.001535996],"study_design_scores_gemma":[0.000002392735,0.0000683322,0.9980686,0.0000108733,0.000005082622,0.00008294322,0.001471004,0.00008336661,0.0000372033,0.000004229698,0.0001626285,0.000003240333],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9993667,0.00007224093,0.00004395844,0.00004958743,0.000002749769,0.00002922011,0.0002508998,0.000001858287,0.0001828431],"genre_scores_gemma":[0.9988741,0.0001695018,0.0001196125,0.0001097158,0.00000716755,0.00006300936,0.0004195198,0.000001111588,0.000236294],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02210809,"threshold_uncertainty_score":0.04395878,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.3745415019285501,"score_gpt":0.4857271001030728,"score_spread":0.1111855981745227,"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."}}