{"id":"W3165887972","doi":"","title":"COVID-19 AWARENESS AND STATISTICS WEBSITE","year":2021,"lang":"en","type":"article","venue":"","topic":"COVID-19 diagnosis using AI","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Coronavirus disease 2019 (COVID-19); China; Official statistics; 2019-20 coronavirus outbreak; Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2); Statistics; Business; Geography; Internet privacy; Environmental health; Computer science; Medicine; Virology; Mathematics; Outbreak","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":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.003411365,0.0005885381,0.0006488591,0.009720459,0.0009432965,0.003514318,0.0009880728,0.001234202,0.2517064],"category_scores_gemma":[0.02445524,0.0004535744,0.0005053513,0.009160823,0.0002732867,0.002645417,0.002161605,0.001710047,0.1619594],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001228136,"about_ca_system_score_gemma":0.004071899,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01259024,"about_ca_topic_score_gemma":0.00725119,"domain_scores_codex":[0.9969847,0.000562451,0.0004990191,0.0002791894,0.001313822,0.0003608909],"domain_scores_gemma":[0.9644038,0.009567942,0.004585132,0.002082566,0.01418949,0.005171063],"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":[0.00006585326,0.00004350983,0.002797012,0.0001586889,0.00000603867,0.00004244703,0.00004084362,0.00004408577,0.00008944007,0.0009710147,0.9748265,0.02091471],"study_design_scores_gemma":[0.00002153154,0.0000188566,0.007128163,0.000218792,0.000007113932,0.0001291783,0.00007321251,0.0001343928,0.0001779601,0.0004506403,0.9916146,0.00002558136],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"other","genre_scores_codex":[0.003261537,0.001674761,0.002642316,0.008332817,0.002120582,0.000640519,0.6156138,0.009401722,0.356312],"genre_scores_gemma":[0.02533342,0.003618753,0.005801001,0.007232932,0.003384239,0.001094724,0.7996196,0.00423174,0.1496835],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.7482936,"threshold_uncertainty_score":0.8420417,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05220143117740429,"score_gpt":0.3808021274921047,"score_spread":0.3286006963147004,"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."}}