{"id":"W4288042241","doi":"10.3390/ijerph19159136","title":"A New Interactive Tool to Visualize and Analyze COVID-19 Data: The PERISCOPE Atlas","year":2022,"lang":"en","type":"article","venue":"International Journal of Environmental Research and Public Health","topic":"COVID-19 epidemiological studies","field":"Mathematics","cited_by":13,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Ottawa","funders":"European Commission","keywords":"Pandemic; Coronavirus disease 2019 (COVID-19); Listing (finance); Government (linguistics); Data science; Health care; Computer science; Business; Economic growth; Medicine; Economics","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":[0.002444925,0.001880179,0.001092943,0.006052098,0.0007446606,0.004037807,0.001760461,0.001070428,0.05996804],"category_scores_gemma":[0.009077224,0.0009262074,0.001478118,0.004384684,0.0006409116,0.004131715,0.005209877,0.002129735,0.01338132],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005927029,"about_ca_system_score_gemma":0.001437971,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005536947,"about_ca_topic_score_gemma":0.00659644,"domain_scores_codex":[0.999019,0.000259059,0.0001422294,0.000185339,0.0003050442,0.00008939378],"domain_scores_gemma":[0.9940783,0.003730464,0.0002597729,0.0006926176,0.000759055,0.0004799267],"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":[0.001169016,0.0003041706,0.01154511,0.003198332,0.0005195563,0.001242225,0.004352368,0.008711547,0.00806642,0.01429856,0.7804752,0.1661175],"study_design_scores_gemma":[0.0003467218,0.0001088791,0.01192332,0.0007274963,0.0001423626,0.0008349314,0.001217931,0.02426464,0.007920415,0.02041274,0.9317497,0.0003509451],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"software","genre_gemma":"methods","genre_scores_codex":[0.01308448,0.001454831,0.3128353,0.00219553,0.00110752,0.001193536,0.2925875,0.3398246,0.03571677],"genre_scores_gemma":[0.1000352,0.002819607,0.5544033,0.001503476,0.0005268548,0.003326789,0.2325865,0.0843722,0.02042596],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.05996804,"threshold_uncertainty_score":0.2006131,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.4527935377370904,"score_gpt":0.5706227591126267,"score_spread":0.1178292213755363,"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."}}