{"id":"W4411282781","doi":"10.2196/76634","title":"Ethical Implications of Artificial Intelligence in Vaccine Equity: Protocol for Exploring Vaccine Distribution Planning and Scheduling in Pandemics in Low- and Middle-Income Countries","year":2025,"lang":"en","type":"article","venue":"JMIR Research Protocols","topic":"Vaccine Coverage and Hesitancy","field":"Social Sciences","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Fogarty International Center","keywords":"Low and middle income countries; Preprint; Pandemic; Equity (law); Psychology; Coronavirus disease 2019 (COVID-19); Economic growth; Political science; Developing country; Computer science; Infectious disease (medical specialty); Medicine; Economics; World Wide Web","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"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":[0.1366235,0.003293615,0.003219712,0.004923809,0.008171469,0.006250869,0.004219878,0.01256949,0.09773887],"category_scores_gemma":[0.1669537,0.003549283,0.005979559,0.004785948,0.007083958,0.007632907,0.008225048,0.01478362,0.02654243],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.01458446,"about_ca_system_score_gemma":0.07050236,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003739186,"about_ca_topic_score_gemma":0.008172041,"domain_scores_codex":[0.9279655,0.04847429,0.01270536,0.003006761,0.00405051,0.003797534],"domain_scores_gemma":[0.8487159,0.07136745,0.01058671,0.02027349,0.04280642,0.00624992],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.02185817,0.006032908,0.003526224,0.08860241,0.0006329917,0.002855378,0.05240255,0.006041573,0.007207758,0.09023534,0.4931501,0.2274546],"study_design_scores_gemma":[0.02203083,0.003072659,0.006755903,0.05866115,0.0004226301,0.000721844,0.01651352,0.003398501,0.004619539,0.0538803,0.82924,0.0006831092],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"protocol","genre_gemma":"protocol","genre_scores_codex":[0.001216115,0.000220034,0.006413293,0.00237281,0.0007323892,0.9816152,0.00334972,0.0001608095,0.003919614],"genre_scores_gemma":[0.0005642066,0.0001212108,0.00502352,0.0003829754,0.00003800152,0.9930469,0.0002341801,0.00001114568,0.0005778567],"genre_candidate":"protocol","genre_consensus":"protocol","teacher_disagreement_score":0.1366235,"threshold_uncertainty_score":0.722543,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.3967542832071399,"score_gpt":0.5881437388269901,"score_spread":0.1913894556198502,"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."}}