{"id":"W3047428955","doi":"10.1051/mmnp/2020032","title":"Analysis of the age-structured epidemiological characteristics of SARS-COV-2 transmission in mainland China: An aggregated approach","year":2020,"lang":"en","type":"article","venue":"Mathematical Modelling of Natural Phenomena","topic":"COVID-19 epidemiological studies","field":"Mathematics","cited_by":8,"is_retracted":false,"has_abstract":true,"ca_institutions":"Wilfrid Laurier University","funders":"National Natural Science Foundation of China","keywords":"Demography; Mainland China; China; Age groups; Transmission (telecommunications); Population; Geography; Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2); Epidemiology; Medicine; Coronavirus disease 2019 (COVID-19); Internal medicine; Disease","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":[0.001474766,0.0004906778,0.0006736132,0.002625861,0.0004175211,0.0005790783,0.0007172368,0.000591383,0.0008454641],"category_scores_gemma":[0.002182559,0.0003345458,0.001213429,0.001392693,0.0002926256,0.0006485456,0.0007516075,0.0003328749,0.000131727],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007136998,"about_ca_system_score_gemma":0.0006426885,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02880241,"about_ca_topic_score_gemma":0.02044369,"domain_scores_codex":[0.9994662,0.0001651036,0.00004291891,0.0001649581,0.00005847998,0.0001023706],"domain_scores_gemma":[0.9986553,0.0004172555,0.0003011662,0.0002267833,0.0002256754,0.0001737243],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00007921512,0.0001086038,0.8985827,0.00005962934,0.0006725597,0.0005325748,0.0004340885,0.08609051,0.00135414,0.001125156,0.0004943456,0.01046646],"study_design_scores_gemma":[0.000009158001,0.00007400383,0.44026,0.00001120368,0.0001536055,0.0001144124,0.0003749138,0.5572833,0.0001415933,0.001153003,0.0004029223,0.00002185787],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9942833,0.00008001328,0.004951904,0.00004809029,0.000005766288,0.00001812955,0.0003975687,0.00002200789,0.0001932045],"genre_scores_gemma":[0.9976664,0.00005384916,0.00120816,0.00001228763,0.00001177811,0.00001556755,0.0008868969,0.000003274083,0.0001417454],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02880241,"threshold_uncertainty_score":0.05726951,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.2526459944641217,"score_gpt":0.3711179983573417,"score_spread":0.11847200389322,"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."}}