{"id":"W4402620693","doi":"10.34172/hpp.43067","title":"Political prioritization for digital health and health equity through global health diplomacy","year":2024,"lang":"en","type":"letter","venue":"Health Promotion Perspectives","topic":"Global Health and Surgery","field":"Medicine","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"","keywords":"Diplomacy; Prioritization; Politics; Equity (law); Global health; Health equity; Political science; Digital health; Public relations; Environmental health; Medicine; Business; Health care; Law; Process management","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":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.002132135,0.0008769385,0.002454942,0.0003209051,0.001043187,0.0002809877,0.0001736404,0.000711522,0.00002819656],"category_scores_gemma":[0.0004638328,0.0008373205,0.0004231717,0.0007186466,0.000356722,0.0004407665,0.0001981173,0.002110412,0.00004959019],"about_ca_system_candidate":true,"about_ca_system_consensus":true,"about_ca_system_score_codex":0.01374612,"about_ca_system_score_gemma":0.02458537,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001563557,"about_ca_topic_score_gemma":0.00008538992,"domain_scores_codex":[0.9902673,0.0005820442,0.0021303,0.001967785,0.001202088,0.003850526],"domain_scores_gemma":[0.9950253,0.0001967685,0.001003011,0.0006495286,0.0005012247,0.002624104],"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":[0.0001330749,0.000576796,0.0005705002,0.03278818,0.0001003582,0.00003349416,0.002841871,9.332664e-8,3.336687e-8,0.08118523,0.8611482,0.02062212],"study_design_scores_gemma":[0.002978163,0.0149846,0.004624198,0.008062183,0.00004894035,0.001137585,0.005218566,0.0001308068,3.161489e-7,0.09046901,0.8714805,0.0008651536],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"commentary","genre_gemma":"commentary","genre_scores_codex":[0.0001005485,0.04998744,0.006435727,0.9289481,0.001357157,0.007194504,0.003195572,0.0006759187,0.002105019],"genre_scores_gemma":[0.02259106,0.006416275,0.002560737,0.953801,0.00728826,0.0003645737,0.005942958,0.0002010264,0.0008341159],"genre_candidate":"commentary","genre_consensus":"commentary","teacher_disagreement_score":0.04357117,"threshold_uncertainty_score":0.9994078,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.09057980096074916,"score_gpt":0.4738609527387203,"score_spread":0.3832811517779712,"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."}}