{"id":"W4392103843","doi":"10.1038/d41586-024-00545-3","title":"Save lives in the next pandemic: ensure vaccine equity now","year":2024,"lang":"en","type":"article","venue":"Nature","topic":"Zoonotic diseases and public health","field":"Medicine","cited_by":14,"is_retracted":false,"has_abstract":false,"ca_institutions":"Université de Montréal","funders":"","keywords":"Pandemic; Coronavirus disease 2019 (COVID-19); Equity (law); Nationalism; 2019-20 coronavirus outbreak; Action (physics); Call to action; Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2); Political science; Virology; Public relations; Business; Medicine; Law; Infectious disease (medical specialty); Advertising; Outbreak; 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":[0.0274772,0.0007304024,0.001449065,0.001036501,0.003978427,0.009798064,0.002168283,0.01561178,0.0374691],"category_scores_gemma":[0.04807251,0.0004587884,0.001009046,0.0005847059,0.008053923,0.01948778,0.01537828,0.01879684,0.006165935],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.005075915,"about_ca_system_score_gemma":0.03423822,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.006826353,"about_ca_topic_score_gemma":0.008152681,"domain_scores_codex":[0.9873949,0.004345234,0.0005715973,0.0007943308,0.003692576,0.003201408],"domain_scores_gemma":[0.957475,0.01158972,0.002244752,0.002363679,0.007111319,0.01921544],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.000186848,0.000395655,0.004604694,0.0006147856,0.0001306501,0.0002911118,0.001465238,0.000646825,0.001304135,0.175993,0.6455141,0.168853],"study_design_scores_gemma":[0.0001205438,0.0002107861,0.004817543,0.001559178,0.00006784653,0.0002970636,0.002699704,0.0003901641,0.0006132636,0.1497654,0.8393925,0.00006607468],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"commentary","genre_gemma":"commentary","genre_scores_codex":[0.00121404,0.007712557,0.001564657,0.967455,0.009577383,0.00002992038,0.0001248805,0.00006731282,0.01225424],"genre_scores_gemma":[0.07874364,0.01407811,0.006078536,0.8640472,0.022414,0.0001866532,0.0003351974,0.0001351244,0.01398152],"genre_candidate":"commentary","genre_consensus":"commentary","teacher_disagreement_score":0.0374691,"threshold_uncertainty_score":0.1453151,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04149296967769139,"score_gpt":0.3795507610357853,"score_spread":0.3380577913580939,"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."}}