{"id":"W4400917690","doi":"10.1136/bmj.q1582","title":"From speech to action: using Brazil’s 2024 presidency of G20 to embed equity in global health","year":2024,"lang":"en","type":"article","venue":"BMJ","topic":"Global Public Health Policies and Epidemiology","field":"Business, Management and Accounting","cited_by":5,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Ottawa","funders":"","keywords":"Presidency; Equity (law); Action (physics); Global health; Computer science; Political science; Data science; Speech recognition; Medicine; Public health; Politics; Nursing; Law","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":[0.01703287,0.0006742612,0.0004709914,0.001043921,0.008066825,0.01014198,0.001432941,0.0209007,0.007662922],"category_scores_gemma":[0.07145733,0.0005281906,0.0009268872,0.0009935645,0.01188857,0.005803385,0.008288478,0.02030726,0.001482813],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.01490965,"about_ca_system_score_gemma":0.04052366,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.1759059,"about_ca_topic_score_gemma":0.1810209,"domain_scores_codex":[0.9860956,0.005269862,0.0005264292,0.000866538,0.002993854,0.004247721],"domain_scores_gemma":[0.9803889,0.009717482,0.001150966,0.001073701,0.003274387,0.004394663],"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":[0.00004451148,0.00003761298,0.002317173,0.0001400844,0.00004270551,0.0004425593,0.01748604,0.0002300673,0.0005014586,0.447635,0.5092309,0.02189188],"study_design_scores_gemma":[0.00004549037,0.00003262353,0.004614877,0.0005651751,0.00003939219,0.0001546262,0.00916445,0.0002551812,0.0005055817,0.07831188,0.9062361,0.00007459905],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"commentary","genre_gemma":"commentary","genre_scores_codex":[0.003477836,0.001437665,0.000640384,0.9626951,0.003630944,0.00002131054,0.00009162248,0.00002797069,0.02797724],"genre_scores_gemma":[0.1841104,0.001069706,0.001571348,0.7806864,0.002708948,0.0001257532,0.00009209897,0.0001422341,0.02949325],"genre_candidate":"commentary","genre_consensus":"commentary","teacher_disagreement_score":0.1759059,"threshold_uncertainty_score":0.349764,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1232839790179871,"score_gpt":0.492450735129619,"score_spread":0.3691667561116319,"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."}}