{"id":"W4388594106","doi":"10.1101/2023.11.10.23298369","title":"Clinical and Economic impact of updated Fall 2023 COVID-19 vaccines in the Immunocompromised Population in Canada","year":2023,"lang":"en","type":"preprint","venue":"medRxiv","topic":"SARS-CoV-2 and COVID-19 Research","field":"Medicine","cited_by":6,"is_retracted":false,"has_abstract":true,"ca_institutions":"QUAD Engineering (Canada)","funders":"Moderna","keywords":"Medicine; Coronavirus disease 2019 (COVID-19); Incidence (geometry); Population; Demography; Economic impact analysis; Vaccination; Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2); Pediatrics; Internal medicine; Immunology; Environmental health; Disease","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00443358,0.0008281845,0.001542593,0.001286965,0.0006228725,0.00152862,0.001149574,0.0006428203,0.002468036],"category_scores_gemma":[0.01202447,0.000360995,0.003949503,0.002512566,0.0005102917,0.0004286985,0.0007271885,0.001621386,0.00009120001],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.06963302,"about_ca_system_score_gemma":0.0664306,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.974166,"about_ca_topic_score_gemma":0.969641,"domain_scores_codex":[0.9970054,0.001339531,0.000187729,0.0002233592,0.0007386005,0.0005054334],"domain_scores_gemma":[0.9956926,0.001589062,0.0006677858,0.00007890574,0.001424498,0.0005472221],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.03147133,0.0007480193,0.394981,0.03127247,0.05098305,0.000768429,0.0006281168,0.1899451,0.001197189,0.01339288,0.05375441,0.230858],"study_design_scores_gemma":[0.01454406,0.005312101,0.6436664,0.02413312,0.06069669,0.0007707303,0.001756885,0.1883878,0.002057287,0.008410064,0.04965445,0.000610329],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6287341,0.2851235,0.003712405,0.01761296,0.0004868888,0.001082443,0.04563398,0.0001168047,0.01749697],"genre_scores_gemma":[0.9595156,0.02900255,0.002269119,0.001327147,0.00006752153,0.0001929643,0.006591717,0.00001918385,0.001014302],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.06963302,"threshold_uncertainty_score":0.5052253,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.08990338824820357,"score_gpt":0.4173553589675769,"score_spread":0.3274519707193734,"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."}}