{"id":"W6906434664","doi":"10.17632/499vtcykvw.1","title":"COVID-19 Datasets for predicting the number of new cases of COVID-19 ahead of 1 day, 3 days, and 10 days","year":2020,"lang":"en","type":"dataset","venue":"Data Archiving and Networked Services (DANS)","topic":"","field":"","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Variety (cybernetics); Real world data; Data collection; Data source","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"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":[0.001974137,0.00223858,0.001071913,0.003311059,0.0007271005,0.00122292,0.003062849,0.002077861,0.009184387],"category_scores_gemma":[0.006187615,0.0004338368,0.001637626,0.004832064,0.0003774337,0.001236702,0.00140863,0.001795216,0.01110826],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001598241,"about_ca_system_score_gemma":0.002189405,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02575576,"about_ca_topic_score_gemma":0.04159594,"domain_scores_codex":[0.9984189,0.0003109011,0.0002697744,0.0004012993,0.0004021775,0.0001968726],"domain_scores_gemma":[0.9975617,0.0007091586,0.0002579938,0.0004657988,0.0007558059,0.0002496144],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.000322819,0.0002932732,0.01276007,0.001072983,0.0001805223,0.0001609245,0.00006212304,0.00631033,0.0004998408,0.001084867,0.9620467,0.01520551],"study_design_scores_gemma":[0.0007383935,0.0003270979,0.06547461,0.0007382767,0.0002019401,0.0006155134,0.0005372803,0.0367161,0.002923719,0.004264227,0.8872008,0.0002620294],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.004029262,0.00034898,0.0007001287,0.0003234656,0.0001660607,0.00009565599,0.9918131,0.001100674,0.00142263],"genre_scores_gemma":[0.002468906,0.0001021798,0.001313586,0.0000823388,0.00002143487,0.0001065014,0.9954317,0.00003412258,0.000439271],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.02575576,"threshold_uncertainty_score":0.05121171,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0638884135670166,"score_gpt":0.3464629594760051,"score_spread":0.2825745459089885,"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."}}