{"id":"W3132776603","doi":"10.1136/bmjgh-2021-005012","title":"COVID-19: investing in country capacity to bridge science, policy and action","year":2021,"lang":"en","type":"editorial","venue":"BMJ Global Health","topic":"Health Systems, Economic Evaluations, Quality of Life","field":"Economics, Econometrics and Finance","cited_by":18,"is_retracted":false,"has_abstract":true,"ca_institutions":"McMaster University; Impact","funders":"World Health Organization","keywords":"Misinformation; Knowledge translation; Public relations; Political science; Context (archaeology); Bridge (graph theory); Pandemic; Action (physics); Psychological intervention; Scientific evidence; Health policy; Capacity building; Information Dissemination; Coronavirus disease 2019 (COVID-19); Business; Knowledge management; Medicine; Health care; Computer science; Nursing","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","metaepi_narrow"],"consensus_categories":["metaresearch"],"category_scores_codex":[0.04369248,0.0003817859,0.001821993,0.0009638168,0.0006437492,0.0003316805,0.0004911065,0.0006012993,0.00004087043],"category_scores_gemma":[0.1313404,0.0005574629,0.00007372344,0.002003774,0.0002902714,0.0005276374,0.0002544287,0.0006608502,0.0002427632],"about_ca_system_candidate":true,"about_ca_system_consensus":true,"about_ca_system_score_codex":0.02851447,"about_ca_system_score_gemma":0.0379469,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.2151824,"about_ca_topic_score_gemma":0.04185903,"domain_scores_codex":[0.9912738,0.0006462946,0.004885357,0.001535077,0.000480351,0.001179189],"domain_scores_gemma":[0.9916451,0.001656057,0.003339306,0.000780164,0.0002122191,0.002367165],"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":[0.00001438601,0.0000439799,0.005738806,0.001871939,0.00001083719,0.000002993347,0.0008360115,0.0001084635,8.566992e-8,0.04587615,0.9452393,0.0002570413],"study_design_scores_gemma":[0.0007198277,0.00009767934,0.01734462,0.00039656,0.000002397252,0.0000158539,0.000333646,0.000442874,8.510459e-8,0.009017175,0.9711521,0.0004771265],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"editorial","genre_gemma":"editorial","genre_scores_codex":[0.0268947,0.004159704,0.001433248,0.1552868,0.7854549,0.004477879,0.01341645,0.0001958845,0.008680445],"genre_scores_gemma":[0.01239501,0.001164337,0.004066024,0.1542095,0.8267922,0.0003498148,0.0005724813,0.00008400314,0.0003665869],"genre_candidate":"editorial","genre_consensus":"editorial","teacher_disagreement_score":0.1733234,"threshold_uncertainty_score":0.9996877,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.4493368319709289,"score_gpt":0.5550189948825603,"score_spread":0.1056821629116314,"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."}}