{"id":"W3160425885","doi":"10.1136/bmjgh-2021-006209","title":"Flashing red lights: the global implications of COVID-19 vaccination passports","year":2021,"lang":"en","type":"article","venue":"BMJ Global Health","topic":"Vaccine Coverage and Hesitancy","field":"Social Sciences","cited_by":32,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University","funders":"Social Sciences and Humanities Research Council of Canada","keywords":"Vaccination; Global health; Equity (law); Pandemic; Solidarity; Inequality; Political science; Economic growth; Development economics; Coronavirus disease 2019 (COVID-19); Health care; Economics; Medicine; Law; Politics; Virology; Infectious disease (medical specialty)","routes":{"ca_aff":true,"ca_fund":true,"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":[0.001016434,0.00008690021,0.0001878886,0.00001376045,0.000911909,0.0000570936,0.0002591076,0.0000777119,0.0002016065],"category_scores_gemma":[0.0007671702,0.00007307308,0.00008735507,0.0009228409,0.00001431885,0.0001666641,0.00005787903,0.00006857809,0.00001595011],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001492177,"about_ca_system_score_gemma":0.005082221,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005414225,"about_ca_topic_score_gemma":0.05407751,"domain_scores_codex":[0.99828,0.0003637214,0.0004177792,0.0002415424,0.0003549198,0.0003420243],"domain_scores_gemma":[0.9987164,0.00009930163,0.0002970338,0.0003483885,0.0002464422,0.0002924071],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"observational","study_design_scores_codex":[0.0000172672,0.0001067686,0.2034958,0.00005576001,0.00001892863,0.00001304342,0.002414692,0.00003911772,0.000002284221,0.6222832,0.1430773,0.02847584],"study_design_scores_gemma":[0.0002981254,0.0000332069,0.6713324,0.0000271321,0.00001387381,0.00001843524,0.002640997,0.00001123628,0.000005461301,0.08097525,0.2445381,0.0001058198],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"commentary","genre_gemma":"empirical","genre_scores_codex":[0.08709437,0.003496127,0.005142636,0.792088,0.0008495347,0.001388925,0.0002651502,0.0001947206,0.1094805],"genre_scores_gemma":[0.991115,0.0006034622,0.000373722,0.00728152,0.0003143418,0.00002447745,0.00003476931,0.000003824304,0.0002488687],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9040207,"threshold_uncertainty_score":0.9631831,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04577888200661259,"score_gpt":0.4411826963179418,"score_spread":0.3954038143113293,"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."}}