{"id":"W4406525832","doi":"10.3390/covid5010012","title":"The Disappearance of COVID-19 Data Dashboards: The Case of Ephemeral Data","year":2025,"lang":"en","type":"article","venue":"COVID","topic":"Data-Driven Disease Surveillance","field":"Medicine","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"Western University","funders":"National Institute of Advanced Industrial Science and Technology; National Aeronautics and Space Administration","keywords":"Ephemeral key; Coronavirus disease 2019 (COVID-19); 2019-20 coronavirus outbreak; Computer science; Pandemic; Data science; Geography; Biology; Computer security; Virology; Medicine; Outbreak","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001256423,0.0001359233,0.0003259098,0.00003734554,0.0001884258,0.00002024447,0.002195556,0.00004011159,0.00008738915],"category_scores_gemma":[0.005866126,0.00007831193,0.00005216525,0.0003966939,0.000699955,0.0001421477,0.001942131,0.0001650573,0.00001547443],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00004388292,"about_ca_system_score_gemma":0.001083239,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0009031615,"about_ca_topic_score_gemma":0.001149371,"domain_scores_codex":[0.9984343,0.000198047,0.0004262379,0.000470041,0.0002493636,0.0002219974],"domain_scores_gemma":[0.9914699,0.0009186566,0.0001888608,0.007175904,0.00009097448,0.0001557063],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.001375963,0.0004457121,0.04727709,0.001806616,0.0006315869,0.0009053709,0.0003644798,0.00004824109,0.0006089582,0.006178071,0.9133127,0.0270452],"study_design_scores_gemma":[0.001871985,0.00006540556,0.008220935,0.0001495926,0.0002757807,0.0001321034,0.0006500835,0.004073291,0.0001318528,0.0004754465,0.9838258,0.0001277453],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.489977,0.08029848,0.02912322,0.1985801,0.003779451,0.008477934,0.1641043,0.000753282,0.02490621],"genre_scores_gemma":[0.9920927,0.0005225092,0.0002500515,0.003948496,0.0001035679,0.00001532985,0.002289615,0.0000163875,0.000761338],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.5021157,"threshold_uncertainty_score":0.7022725,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.08474136929157326,"score_gpt":0.419360014479804,"score_spread":0.3346186451882308,"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."}}