{"id":"W3169783380","doi":"10.2196/28169","title":"The COVID-19 Citizen Science Study: Protocol for a Longitudinal Digital Health Cohort Study","year":2021,"lang":"en","type":"article","venue":"JMIR Research Protocols","topic":"Mobile Health and mHealth Applications","field":"Health Professions","cited_by":40,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"National Institute of Biomedical Imaging and Bioengineering; National Cancer Institute","keywords":"Coronavirus disease 2019 (COVID-19); Pandemic; Protocol (science); Public health; 2019-20 coronavirus outbreak; Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2); Cohort study; Digital health; Medicine; Medical education; Political science; Health care; Virology; Nursing; Alternative medicine; Infectious disease (medical specialty)","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":[0.04853746,0.002509122,0.002402961,0.002871638,0.005722335,0.003138119,0.002426922,0.004134834,0.1007307],"category_scores_gemma":[0.04525536,0.002763113,0.001785256,0.003192987,0.002351645,0.003424214,0.002899262,0.006017389,0.03715628],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.004619207,"about_ca_system_score_gemma":0.02461866,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.006548404,"about_ca_topic_score_gemma":0.01263544,"domain_scores_codex":[0.981955,0.01092056,0.002701344,0.001835027,0.001473298,0.001114698],"domain_scores_gemma":[0.9751509,0.007342221,0.002345453,0.005289947,0.007481134,0.002390418],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"observational","study_design_scores_codex":[0.04651329,0.009890441,0.01196366,0.02041129,0.0004421678,0.001294577,0.007744476,0.002365377,0.003809993,0.0219565,0.7406702,0.132938],"study_design_scores_gemma":[0.06104104,0.009827159,0.04381359,0.01412287,0.0003708284,0.0006178278,0.00436425,0.002939184,0.002650313,0.02143001,0.8383061,0.0005167976],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"protocol","genre_gemma":"protocol","genre_scores_codex":[0.002042259,0.0001958711,0.006395147,0.0007599086,0.0004477612,0.9668226,0.01923128,0.0002471937,0.003858104],"genre_scores_gemma":[0.001058352,0.00006903038,0.002530216,0.0002694649,0.00003745282,0.9939836,0.001453079,0.00001455118,0.0005842748],"genre_candidate":"protocol","genre_consensus":"protocol","teacher_disagreement_score":0.1007307,"threshold_uncertainty_score":0.3369778,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.5629505043574798,"score_gpt":0.7230048800108788,"score_spread":0.160054375653399,"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."}}