{"id":"W3217753356","doi":"10.1136/bmj-2021-067507","title":"From response to transformation: how countries can strengthen national pandemic preparedness and response systems","year":2021,"lang":"en","type":"article","venue":"BMJ","topic":"Employment and Welfare Studies","field":"Health Professions","cited_by":38,"is_retracted":false,"has_abstract":true,"ca_institutions":"Public Health Ontario; University of Toronto","funders":"","keywords":"Preparedness; Pandemic; Coronavirus disease 2019 (COVID-19); 2019-20 coronavirus outbreak; Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2); Emergency response; Transformation (genetics); Political science; Computer science; Operations research; Data science; Medicine; Medical emergency; Virology; Engineering; Biology; Pathology","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":[],"consensus_categories":[],"category_scores_codex":[0.07403516,0.002199002,0.001365735,0.002537186,0.01341951,0.02831289,0.005638352,0.03274594,0.03885031],"category_scores_gemma":[0.1058448,0.001355783,0.002983518,0.001822236,0.01635908,0.04187196,0.03556874,0.03671678,0.01411178],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.01184787,"about_ca_system_score_gemma":0.09138473,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0209809,"about_ca_topic_score_gemma":0.03207733,"domain_scores_codex":[0.9323517,0.04457732,0.002201018,0.001927846,0.005896092,0.01304603],"domain_scores_gemma":[0.9066696,0.03011661,0.003100651,0.005807889,0.01857504,0.03573022],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.0001334802,0.0002668622,0.001525407,0.001031144,0.0001112979,0.000252649,0.006996949,0.0006711266,0.0003956795,0.06338389,0.8615909,0.06364042],"study_design_scores_gemma":[0.0001392999,0.0002496903,0.002609813,0.002612858,0.00006848219,0.0001522153,0.02849344,0.0004218873,0.0004844055,0.08944464,0.875161,0.000162229],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"commentary","genre_gemma":"commentary","genre_scores_codex":[0.0007193509,0.002148212,0.001922582,0.9736927,0.007499165,0.0001070035,0.00007147395,0.0001612861,0.0136782],"genre_scores_gemma":[0.06439693,0.00813897,0.01582339,0.8931,0.00480413,0.000605287,0.0002888408,0.0003265431,0.01251592],"genre_candidate":"commentary","genre_consensus":"commentary","teacher_disagreement_score":0.07403516,"threshold_uncertainty_score":0.3915401,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.07693245226706771,"score_gpt":0.4111712219695823,"score_spread":0.3342387697025146,"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."}}