{"id":"W4409729708","doi":"10.1371/journal.pgph.0004488","title":"From algorithms to negotiations: Why health diplomacy must adapt","year":2025,"lang":"en","type":"article","venue":"PLOS Global Public Health","topic":"Ethics in Clinical Research","field":"Medicine","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"Public Health Ontario; University of Toronto","funders":"World Health Organization","keywords":"Diplomacy; Global health; Transparency (behavior); Global governance; Political science; Negotiation; Public relations; Sociology; Politics; Health care; 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":"codex-gemma-dda1882f352a","candidate_categories":["metaresearch"],"consensus_categories":[],"category_scores_codex":[0.004890143,0.0002606746,0.0008390266,0.0002643852,0.0004111609,0.000168369,0.0006140312,0.0003412536,0.0003633261],"category_scores_gemma":[0.02807479,0.0002439817,0.0001500987,0.002203216,0.0001641647,0.000183036,0.0004682991,0.00171689,0.0004263285],"about_ca_system_candidate":true,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002768192,"about_ca_system_score_gemma":0.01696358,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01367836,"about_ca_topic_score_gemma":0.00320555,"domain_scores_codex":[0.993754,0.0006145859,0.001302933,0.0009702294,0.001918592,0.001439676],"domain_scores_gemma":[0.9915302,0.003195536,0.0002167843,0.001308037,0.001005886,0.002743594],"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":[0.0001761474,0.003193332,0.02070775,0.001344041,0.0004934932,0.00003048286,0.001353584,0.000007817974,0.00001071902,0.2181565,0.5942129,0.1603132],"study_design_scores_gemma":[0.004402778,0.002395165,0.108594,0.002485471,0.00004638015,0.000009377509,0.002180968,0.002638001,0.00001497752,0.1576854,0.7190551,0.0004923996],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"commentary","genre_gemma":"commentary","genre_scores_codex":[0.005563036,0.002051442,0.01727857,0.9522274,0.0006006312,0.001933478,0.0004808948,0.0003740841,0.01949049],"genre_scores_gemma":[0.3466966,0.002329851,0.04183537,0.6039128,0.001608521,0.000261853,0.0005104161,0.00006456437,0.00278002],"genre_candidate":"commentary","genre_consensus":"commentary","teacher_disagreement_score":0.3483146,"threshold_uncertainty_score":0.9949285,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.4830578050548202,"score_gpt":0.5920261752183594,"score_spread":0.1089683701635393,"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."}}