{"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":"codex-gemma-dda1882f352a","candidate_categories":["metaresearch","sts"],"consensus_categories":["metaresearch"],"category_scores_codex":[0.03294289,0.0003246097,0.0006198754,0.0003536879,0.02151648,0.0005299398,0.001628679,0.0001458882,0.0002868058],"category_scores_gemma":[0.008397182,0.0002291752,0.0001023337,0.003115452,0.0009114339,0.0003839778,0.001256082,0.002109459,0.0003101373],"about_ca_system_candidate":true,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002306451,"about_ca_system_score_gemma":0.05135912,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003795878,"about_ca_topic_score_gemma":0.001699451,"domain_scores_codex":[0.986168,0.003678164,0.00188091,0.001714926,0.002993907,0.003564107],"domain_scores_gemma":[0.9860961,0.004751621,0.0005698253,0.002420961,0.003379504,0.002781943],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"not_applicable","study_design_scores_codex":[0.001728242,0.00653005,0.7636059,0.003423931,0.00002836554,0.00002064499,0.002455704,0.000001771555,0.00001014467,0.005477182,0.203574,0.0131441],"study_design_scores_gemma":[0.007264546,0.00405357,0.1020149,0.0003373657,0.000001602005,0.000005694683,0.008534728,0.00002706469,0.000003493692,0.001643035,0.8759372,0.0001767047],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"protocol","genre_gemma":"protocol","genre_scores_codex":[0.0004219349,0.000002508667,0.0002778381,0.01450664,0.00002944883,0.9816157,0.0000844491,0.0002242288,0.002837262],"genre_scores_gemma":[0.002101148,8.526678e-7,0.0001436623,0.001475968,0.0004665143,0.9911346,0.00001736003,0.00006601165,0.00459388],"genre_candidate":"protocol","genre_consensus":"protocol","teacher_disagreement_score":0.6723633,"threshold_uncertainty_score":0.9999555,"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."}}