{"id":"W6904679394","doi":"10.14288/1.0223248","title":"Vaccination against 2009 pandemic H1N1 in a population dynamical model of Vancouver, Canada: timing is everything","year":2016,"lang":"en","type":"article","venue":"Open Collections","topic":"COVID-19 epidemiological studies","field":"Mathematics","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Pandemic; Vaccination; Basic reproduction number; Population; Transmission (telecommunications); Prioritization; Christian ministry; Epidemic model","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006152833,0.00104325,0.0009598735,0.0008616302,0.001921098,0.002136115,0.002189239,0.001719444,0.006219329],"category_scores_gemma":[0.002780885,0.0006673806,0.0009428481,0.0009217059,0.001245419,0.0006428647,0.001194548,0.001297436,0.0007056695],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.01640014,"about_ca_system_score_gemma":0.0145357,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9595495,"about_ca_topic_score_gemma":0.8967583,"domain_scores_codex":[0.9996293,0.00008850481,0.000009570796,0.00007635401,0.00004168401,0.0001546395],"domain_scores_gemma":[0.9986519,0.0004003122,0.0001230987,0.00003464359,0.0004959677,0.0002940426],"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":[0.0001743382,0.00006227886,0.01552004,0.00005916818,0.00006687972,0.0003601041,0.0001799311,0.9688543,0.000320487,0.008398912,0.003990398,0.002013141],"study_design_scores_gemma":[0.0001177467,0.00003612437,0.004461727,0.00002375515,0.00004390447,0.00003317008,0.0002392732,0.9917446,0.00004456385,0.001466787,0.001759897,0.00002852054],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8934758,0.001438777,0.0225575,0.005511391,0.0002298302,0.0003536519,0.0116514,0.0002948072,0.06448688],"genre_scores_gemma":[0.9712995,0.0005015133,0.003470183,0.0002975681,0.00003587842,0.000180908,0.002135673,0.00004029863,0.02203835],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.04045051,"threshold_uncertainty_score":0.1189919,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1736550243640332,"score_gpt":0.3831509358034433,"score_spread":0.2094959114394101,"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."}}