{"id":"W3209065477","doi":"10.1098/rsos.210834","title":"Modelling the impact of age-stratified public health measures on SARS-CoV-2 transmission in Canada","year":2021,"lang":"en","type":"article","venue":"Royal Society Open Science","topic":"COVID-19 epidemiological studies","field":"Mathematics","cited_by":11,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Guelph; Public Health Agency of Canada","funders":"","keywords":"Psychological intervention; Medicine; Public health; Population; Transmission (telecommunications); Health care; Intervention (counseling); Demography; Environmental health; Gerontology; Vaccination; Social distance; Pandemic; Disease; Coronavirus disease 2019 (COVID-19); Infectious disease (medical specialty); Nursing; Immunology","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.005239654,0.0001446736,0.00043703,0.0000121398,0.0005077489,0.0001133617,0.001207614,0.00003803629,0.00001948765],"category_scores_gemma":[0.001599963,0.00008131185,0.0001621691,0.0007882315,0.0002866398,0.0001124664,0.0003202716,0.0002626781,6.812436e-7],"about_ca_system_candidate":true,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001428838,"about_ca_system_score_gemma":0.007258685,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.8648464,"about_ca_topic_score_gemma":0.3890162,"domain_scores_codex":[0.997634,0.0002706398,0.0004550657,0.0004322217,0.0006830278,0.000525029],"domain_scores_gemma":[0.9978261,0.001360471,0.0001783881,0.0003835192,0.000146545,0.0001049716],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00007892904,0.001070179,0.0187101,0.0003507907,0.0002298839,0.00003902666,0.0278959,0.8029297,0.01216617,0.02289862,0.07627651,0.03735421],"study_design_scores_gemma":[0.0007120522,0.0002035349,0.02092993,0.0002429775,0.00001034635,0.000001863018,0.003776586,0.9328024,0.004836167,0.03458919,0.001484703,0.0004102806],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9482582,0.0003251348,0.03264082,0.01570743,0.00005777087,0.0006654361,0.00001738433,0.00001764931,0.002310183],"genre_scores_gemma":[0.9921569,0.00007153583,0.006173541,0.001523413,0.00000917501,0.00001317943,8.792204e-7,0.000005764186,0.00004564565],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4758303,"threshold_uncertainty_score":0.9983692,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.4410011334365689,"score_gpt":0.4617778182694283,"score_spread":0.02077668483285938,"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."}}