{"id":"W4407162720","doi":"10.35772/ghm.2024.01082","title":"How to build a better clinical trial ecosystem for future infectious disease emergencies in Japan: Findings from a narrative review and stakeholder meetings","year":2025,"lang":"en","type":"review","venue":"Global Health & Medicine","topic":"Viral Infections and Outbreaks Research","field":"Medicine","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"Precursory Research for Embryonic Science and Technology; Japan Science and Technology Agency; Ministry of Health, Labour and Welfare","keywords":"Narrative; Stakeholder engagement; Stakeholder; Ecosystem; Environmental resource management; Medicine; Environmental planning; Geography; Public relations; Political science; Ecology; Environmental science; Biology","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":["metaresearch"],"consensus_categories":[],"category_scores_codex":[0.04920544,0.0008148542,0.001771169,0.006412893,0.001607451,0.006433106,0.001411973,0.002728933,0.001879872],"category_scores_gemma":[0.07907575,0.0006241174,0.001961503,0.007681767,0.001492528,0.008785693,0.002929197,0.00269537,0.000305367],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.007092176,"about_ca_system_score_gemma":0.03329547,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005611066,"about_ca_topic_score_gemma":0.02098731,"domain_scores_codex":[0.9745032,0.01691242,0.004896339,0.0007654131,0.002225953,0.0006967571],"domain_scores_gemma":[0.9305036,0.05023845,0.007769081,0.00109077,0.009030756,0.00136747],"domain_codex":null,"domain_gemma":"methods","domain_candidate":"methods","domain_consensus":null,"study_design_codex":"systematic_review","study_design_gemma":"systematic_review","study_design_scores_codex":[0.000330185,0.0000767189,0.003151656,0.5194231,0.002078269,0.001870563,0.02926079,0.0005861257,0.001243593,0.03057664,0.06245801,0.3489444],"study_design_scores_gemma":[0.00009081944,0.0001358937,0.003584069,0.4455672,0.004925004,0.0009861013,0.0184123,0.0001813529,0.0004353804,0.006706704,0.5188821,0.00009305256],"study_design_candidate":"systematic_review","study_design_consensus":"systematic_review","genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.002438675,0.954843,0.0009940348,0.03699193,0.001102781,0.00044771,0.000197493,0.00001791604,0.002966481],"genre_scores_gemma":[0.06643811,0.8984191,0.007199652,0.02427946,0.0008753719,0.001575899,0.0002559314,0.00002249072,0.0009339348],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.9507946,"threshold_uncertainty_score":0.2602263,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1217742745393797,"score_gpt":0.4940346717188757,"score_spread":0.372260397179496,"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."}}