{"id":"W3196468418","doi":"10.2196/29878","title":"Correction: Authors’ Response to Peer Reviews of “Impact of COVID-19 Testing Strategies and Lockdowns on Disease Management Across Europe, South America, and the United States: Analysis Using Skew-Normal Distributions”","year":2021,"lang":"en","type":"erratum","venue":"JMIRx Med","topic":"COVID-19 epidemiological studies","field":"Mathematics","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Skew; Coronavirus disease 2019 (COVID-19); Peer review; Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2); 2019-20 coronavirus outbreak; Econometrics; Regional science; Political science; Geography; Operations research; Disease; Computer science; Medicine; Economics; Engineering; Virology; Law; Telecommunications; Infectious disease (medical specialty)","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":["metaresearch"],"consensus_categories":[],"category_scores_codex":[0.02217565,0.002541141,0.002842199,0.004667468,0.004334222,0.006505046,0.004434325,0.009764427,0.05742146],"category_scores_gemma":[0.3273547,0.001758968,0.002785205,0.003948316,0.003643374,0.003598985,0.003538211,0.01938097,0.03077923],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.006409142,"about_ca_system_score_gemma":0.01396415,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.03070191,"about_ca_topic_score_gemma":0.03259028,"domain_scores_codex":[0.9701563,0.007743188,0.005300961,0.002193575,0.01316419,0.001441777],"domain_scores_gemma":[0.8062434,0.06627975,0.008613318,0.006537313,0.1083299,0.003996389],"domain_codex":null,"domain_gemma":"evaluation","domain_candidate":"evaluation","domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00001362426,0.000002345882,0.00004413713,0.00008174853,0.000009909177,0.00005189122,0.00003395138,0.00001792247,0.000009820715,0.0002573091,0.9980353,0.001442233],"study_design_scores_gemma":[0.00006464551,0.00002062692,0.0006165915,0.0009909509,0.00006448555,0.000287433,0.0002141606,0.0003184647,0.000183155,0.001652355,0.9955214,0.00006566659],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"editorial","genre_gemma":"other","genre_scores_codex":[0.0001124403,0.0006702318,0.000738316,0.1643031,0.8307705,0.00003968404,0.001621162,0.0003438351,0.001400735],"genre_scores_gemma":[0.01101729,0.007207014,0.005369246,0.3705062,0.5234269,0.0004594804,0.003850361,0.002571472,0.07559201],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.9778243,"threshold_uncertainty_score":0.1920939,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.2297975994012436,"score_gpt":0.470081869059518,"score_spread":0.2402842696582744,"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."}}