{"id":"W3216747874","doi":"10.1136/bmjgh-2021-006874","title":"Mapping global trends in vaccine sales before and during the first wave of the COVID-19 pandemic: a cross-sectional time-series analysis","year":2021,"lang":"en","type":"article","venue":"BMJ Global Health","topic":"Vaccine Coverage and Hesitancy","field":"Social Sciences","cited_by":18,"is_retracted":false,"has_abstract":true,"ca_institutions":"Women's College Hospital; University of Toronto; University of British Columbia","funders":"","keywords":"Pandemic; Per capita; Coronavirus disease 2019 (COVID-19); Population; Demography; Medicine; Business; Geography; Environmental health","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":[],"consensus_categories":[],"category_scores_codex":[0.0008645541,0.0001121232,0.0002868532,0.0000635447,0.001028808,0.00008077943,0.0001899034,0.00008595366,0.0002724122],"category_scores_gemma":[0.0002647176,0.00007750512,0.0001564074,0.002937243,0.00005983692,0.0001178411,0.000145038,0.00010142,0.00000230465],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008615378,"about_ca_system_score_gemma":0.0009263675,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.008074551,"about_ca_topic_score_gemma":0.4600668,"domain_scores_codex":[0.9983439,0.0002479306,0.000432219,0.0002729005,0.0003522773,0.000350778],"domain_scores_gemma":[0.9992691,0.00006634239,0.0002117453,0.0002282844,0.00008174401,0.0001428401],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00004224217,0.00002422362,0.9935713,0.00004560452,0.00006258684,0.00000949017,0.002134663,0.0001276176,6.76052e-7,0.00235134,0.0005688165,0.001061381],"study_design_scores_gemma":[0.0003962156,0.00001870956,0.9896623,0.00001752633,0.00001679736,0.00004710157,0.001227414,0.00005471653,4.164169e-7,0.001345326,0.007144092,0.00006940103],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9738369,0.00102588,0.0000354062,0.0228301,0.0001151185,0.0001865845,0.0001808814,0.0000294743,0.001759666],"genre_scores_gemma":[0.997471,0.0002081212,0.00005476933,0.00125053,0.0001735824,0.000009636107,0.00001600827,0.000002945044,0.0008134285],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4519922,"threshold_uncertainty_score":0.9985307,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03951054054857796,"score_gpt":0.3900197164198059,"score_spread":0.3505091758712279,"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."}}