{"id":"W3138907953","doi":"10.2196/27537","title":"Authors’ Response to Peer Reviews of “A Framework for a Statistical Characterization of Epidemic Cycles: COVID-19 Case Study”","year":2021,"lang":"en","type":"article","venue":"JMIRx Med","topic":"COVID-19 epidemiological studies","field":"Mathematics","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Coronavirus disease 2019 (COVID-19); 2019-20 coronavirus outbreak; Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2); Virology; Computer science; Medicine; Outbreak","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":"codex-gemma-dda1882f352a","candidate_categories":["metaresearch"],"consensus_categories":[],"category_scores_codex":[0.008683396,0.0002264833,0.001354865,0.00009153915,0.0001067869,0.000009370387,0.000179198,0.0001787827,0.0002582505],"category_scores_gemma":[0.4657349,0.0001786415,0.0001841151,0.0004523652,0.00009694607,0.00003776551,0.0002077515,0.0002050158,0.00001038671],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001715651,"about_ca_system_score_gemma":0.000199451,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00007136689,"about_ca_topic_score_gemma":0.00008300234,"domain_scores_codex":[0.9949838,0.002350205,0.001516226,0.0004843459,0.0003525031,0.0003129472],"domain_scores_gemma":[0.9634253,0.03457124,0.0005994518,0.0006254556,0.0004928887,0.000285674],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","study_design_scores_codex":[0.01818172,0.01129595,0.0939433,0.02103752,0.001709447,0.004408258,0.1235095,0.00009967482,0.1282071,0.3094245,0.264665,0.02351806],"study_design_scores_gemma":[0.004559249,0.003309427,0.05306562,0.001188388,0.001172998,0.0002724285,0.01313451,0.0007970478,0.002295382,0.3796744,0.5390502,0.001480272],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.5151827,0.00006377254,0.4619823,0.02008496,0.000110251,0.002232859,0.0002934831,0.00004430474,0.000005417377],"genre_scores_gemma":[0.672624,0.0001165553,0.3154213,0.006350622,0.0001973789,0.002048972,0.00007182328,0.00007491848,0.003094387],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4570515,"threshold_uncertainty_score":0.7284787,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.4473226462914577,"score_gpt":0.556842854861585,"score_spread":0.1095202085701273,"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."}}