{"id":"W4318027682","doi":"10.2196/43819","title":"Web-Based COVID-19 Dashboards and Trackers in the United States: Survey Study","year":2023,"lang":"en","type":"article","venue":"JMIR Human Factors","topic":"Data-Driven Disease Surveillance","field":"Medicine","cited_by":10,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"BitTorrent tracker; Visualization; Computer science; Transparency (behavior); Data science; Data visualization; Data quality; Standardization; Web application; World Wide Web; Data mining; Business; Computer security; Eye tracking","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":[0.006188616,0.0002357307,0.000327918,0.00201014,0.001082801,0.00165297,0.0005258718,0.0006847646,0.001273808],"category_scores_gemma":[0.01555758,0.0005058979,0.0003594882,0.003319855,0.0006386775,0.0030791,0.001595161,0.001162667,0.0003520103],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001432939,"about_ca_system_score_gemma":0.001969997,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.03032399,"about_ca_topic_score_gemma":0.0468814,"domain_scores_codex":[0.9968765,0.001366481,0.0004160857,0.0003024916,0.0006911927,0.0003473598],"domain_scores_gemma":[0.9845374,0.005997228,0.003353971,0.000698502,0.004223113,0.001189801],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00006563045,0.0005593179,0.9536035,0.0002671627,0.00004354736,0.000278673,0.02168331,0.0000734425,0.0002913104,0.0001862738,0.002608557,0.02033919],"study_design_scores_gemma":[0.000008753548,0.0004844858,0.8831899,0.0003471383,0.00004167081,0.0003750216,0.1055678,0.0007191459,0.0003656125,0.00006958477,0.008801103,0.00002979397],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9969494,0.0002287142,0.0002736479,0.000309386,0.000006251968,0.0001290502,0.0007715457,0.00001310542,0.001318829],"genre_scores_gemma":[0.9959538,0.0007965505,0.0009992411,0.0004265019,0.000008658406,0.000208995,0.0009255101,0.00001524073,0.0006655045],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.03032399,"threshold_uncertainty_score":0.06029493,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.09105086991300165,"score_gpt":0.3936033691272216,"score_spread":0.3025524992142199,"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."}}