{"id":"W3216279042","doi":"10.1136/bmj-2021-067510","title":"Strengthening the basics: public health responses to prevent the next pandemic","year":2021,"lang":"en","type":"article","venue":"BMJ","topic":"Disaster Response and Management","field":"Health Professions","cited_by":56,"is_retracted":false,"has_abstract":true,"ca_institutions":"Public Health Ontario; University of Toronto","funders":"","keywords":"Pandemic; Public health; Coronavirus disease 2019 (COVID-19); Outbreak; 2019-20 coronavirus outbreak; Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2); Public relations; Computer science; Political science; Medicine; Data science; Virology; Nursing; Infectious disease (medical specialty); Pathology; Disease","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":[0.02198056,0.001374051,0.0009555626,0.001264473,0.008149647,0.01135492,0.00309848,0.03446063,0.01370464],"category_scores_gemma":[0.05843075,0.0009704414,0.001671643,0.000605027,0.01227091,0.009659035,0.01117975,0.04783579,0.007691497],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.008076762,"about_ca_system_score_gemma":0.03751374,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02195837,"about_ca_topic_score_gemma":0.04807064,"domain_scores_codex":[0.9803519,0.007800069,0.0008711694,0.00108572,0.00584566,0.004045521],"domain_scores_gemma":[0.9270036,0.03737994,0.002899951,0.001724989,0.01100272,0.01998876],"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":[0.0001180095,0.0002090099,0.001217584,0.0006340235,0.00008759685,0.0002327462,0.005024918,0.0003279514,0.000608999,0.01960065,0.9262862,0.04565223],"study_design_scores_gemma":[0.00009134717,0.0001290305,0.001712844,0.000843744,0.00004359486,0.0001921939,0.006045862,0.000243139,0.0005245194,0.02209318,0.967977,0.000103461],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"commentary","genre_gemma":"commentary","genre_scores_codex":[0.0003627708,0.001290199,0.0006548571,0.9867951,0.007379927,0.00002095293,0.00001772516,0.00002840837,0.003450096],"genre_scores_gemma":[0.02081436,0.004402464,0.002885632,0.9465993,0.01050161,0.00009605582,0.00004381923,0.00007739243,0.01457931],"genre_candidate":"commentary","genre_consensus":"commentary","teacher_disagreement_score":0.03446063,"threshold_uncertainty_score":0.1162457,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.2715646383636464,"score_gpt":0.4805932624318068,"score_spread":0.2090286240681604,"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."}}