{"id":"W3128541675","doi":"10.2196/25682","title":"Features Constituting Actionable COVID-19 Dashboards: Descriptive Assessment and Expert Appraisal of 158 Public Web-Based COVID-19 Dashboards","year":2021,"lang":"en","type":"article","venue":"Journal of Medical Internet Research","topic":"COVID-19 epidemiological studies","field":"Mathematics","cited_by":130,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"European Commission; University of Oxford","keywords":"Coronavirus disease 2019 (COVID-19); Computer science; 2019-20 coronavirus outbreak; World Wide Web; Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2); Data science; Medicine; Virology; Disease","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":[0.07409526,0.000591637,0.00111311,0.01128984,0.00296443,0.003477971,0.001625076,0.001068276,0.001207669],"category_scores_gemma":[0.1869549,0.0006500872,0.001099581,0.006901409,0.003571245,0.004221447,0.00590752,0.001322517,0.0003463991],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.005090829,"about_ca_system_score_gemma":0.00788385,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005394493,"about_ca_topic_score_gemma":0.008539505,"domain_scores_codex":[0.944869,0.02521483,0.009716183,0.003032289,0.01447075,0.002697024],"domain_scores_gemma":[0.7424939,0.1703243,0.02314703,0.007466734,0.052545,0.004023093],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"observational","study_design_scores_codex":[0.0004375659,0.0004133851,0.2161117,0.003921507,0.0001071555,0.001211757,0.6683449,0.0006275611,0.003406491,0.001556162,0.003422515,0.1004394],"study_design_scores_gemma":[0.00004401088,0.0007018215,0.2365953,0.002727256,0.0000987587,0.0006367961,0.7303349,0.003447502,0.002744293,0.001356587,0.02110992,0.0002028251],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9874287,0.0004033415,0.005378031,0.0004765,0.0000334771,0.00205045,0.0007008535,0.00006104141,0.003467553],"genre_scores_gemma":[0.9811615,0.0007459844,0.01230617,0.0002524031,0.00002427192,0.00351155,0.0009685913,0.00006817013,0.0009612783],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.07409526,"threshold_uncertainty_score":0.3918579,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.4500506775650255,"score_gpt":0.5826562323653015,"score_spread":0.132605554800276,"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."}}