{"id":"W4392970702","doi":"10.1016/s0140-6736(24)00452-5","title":"Improving coherence of global research funding: Pandemic PACT","year":2024,"lang":"en","type":"letter","venue":"The Lancet","topic":"Viral Infections and Outbreaks Research","field":"Medicine","cited_by":6,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"National Institute for Health and Care Research; UK Research and Innovation; International Development Research Centre; Wellcome Trust","keywords":"Pandemic; Pact; Coronavirus disease 2019 (COVID-19); Political science; 2019-20 coronavirus outbreak; Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2); Coherence (philosophical gambling strategy); Economic growth; Medicine; Virology; Economics; Law","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":["metaresearch"],"consensus_categories":[],"category_scores_codex":[0.04154427,0.00185736,0.00339844,0.001988768,0.01323507,0.02379055,0.006587788,0.2104747,0.02144699],"category_scores_gemma":[0.1573513,0.00193591,0.003462833,0.00198402,0.02313719,0.02572809,0.01350169,0.1248343,0.01123963],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.01351681,"about_ca_system_score_gemma":0.04849,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02027481,"about_ca_topic_score_gemma":0.03547621,"domain_scores_codex":[0.9659098,0.01134568,0.003370146,0.003675443,0.009113383,0.006585406],"domain_scores_gemma":[0.8842961,0.06703953,0.005589283,0.003986568,0.01306978,0.02601867],"domain_codex":null,"domain_gemma":"incentives","domain_candidate":"incentives","domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00007462079,0.00004580308,0.0003291665,0.0001143458,0.00004464565,0.0005648133,0.0003987851,0.0000683928,0.0002227408,0.02057361,0.9713064,0.006256696],"study_design_scores_gemma":[0.0003625291,0.00007435646,0.0009904583,0.000602352,0.00006462796,0.0004176076,0.001751081,0.0004252452,0.0002338156,0.08097163,0.9139245,0.0001817777],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"commentary","genre_gemma":"commentary","genre_scores_codex":[0.00009234878,0.0006516639,0.00008457559,0.989103,0.008749533,0.000008543134,0.00001891451,0.00001333989,0.001278117],"genre_scores_gemma":[0.001208451,0.0002806592,0.0001939115,0.9824754,0.0132587,0.00002963717,0.00000932792,0.00001959752,0.002524414],"genre_candidate":"commentary","genre_consensus":"commentary","teacher_disagreement_score":0.9584557,"threshold_uncertainty_score":0.2197098,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.2136729877642934,"score_gpt":0.4506685558821475,"score_spread":0.2369955681178541,"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."}}