{"id":"W3174668727","doi":"10.3390/vaccines9070697","title":"Modeling the Impact of COVID-19 Vaccination in Lebanon: A Call to Speed-Up Vaccine Roll Out","year":2021,"lang":"en","type":"article","venue":"Vaccines","topic":"COVID-19 epidemiological studies","field":"Mathematics","cited_by":22,"is_retracted":false,"has_abstract":true,"ca_institutions":"McMaster University; Impact","funders":"Economic and Social Research Council; Weill Cornell Medicine - Qatar; Qatar National Research Fund; Weill Cornell Medical College; Global Challenges Research Fund","keywords":"Vaccination; Social distance; Medicine; Herd immunity; Pace; Population; Coronavirus disease 2019 (COVID-19); Environmental health; Epidemic model; Demography; Disease; Immunology; Geography; Infectious disease (medical specialty)","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":"codex-gemma-dda1882f352a","candidate_categories":["metaresearch"],"consensus_categories":[],"category_scores_codex":[0.001410825,0.0002933355,0.0007900809,0.0001629097,0.0001201155,0.00002650455,0.0003582443,0.0001243125,0.0003695036],"category_scores_gemma":[0.02564056,0.0001755813,0.000279189,0.0007318197,0.000005466292,0.00009543294,0.0003876099,0.0002207949,0.00002588697],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004058488,"about_ca_system_score_gemma":0.0002208671,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0019771,"about_ca_topic_score_gemma":0.006171593,"domain_scores_codex":[0.9976983,0.0003268173,0.0008575444,0.0004647982,0.0002368889,0.0004156698],"domain_scores_gemma":[0.9957435,0.002990912,0.0001834962,0.0006019604,0.0003127211,0.0001673992],"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":[0.001197609,0.00102025,0.2628707,0.001012726,0.0006045389,0.0001172858,0.01256911,0.6008397,0.005339453,0.007937194,0.1022153,0.004276208],"study_design_scores_gemma":[0.007638882,0.0007884377,0.1952943,0.0002904981,0.0002906146,0.00005569448,0.002278953,0.4230315,0.002019162,0.3637224,0.00318991,0.001399622],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9581732,0.001026839,0.01799466,0.02118387,0.0001951861,0.0007244787,0.00002520726,0.0001145895,0.0005620057],"genre_scores_gemma":[0.9966087,0.0001650352,0.001105599,0.001291927,0.0001660687,0.00003633044,0.000007033446,0.00002724428,0.0005920506],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3557853,"threshold_uncertainty_score":0.9825669,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.2490585308415847,"score_gpt":0.4632832465960594,"score_spread":0.2142247157544747,"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."}}