{"id":"W4327614607","doi":"10.1002/hec.4673","title":"Preparing for future pandemics: A multi‐national comparison of health and economic trade‐offs","year":2023,"lang":"en","type":"article","venue":"Health Economics","topic":"Global Health Care Issues","field":"Health Professions","cited_by":8,"is_retracted":false,"has_abstract":true,"ca_institutions":"Vancouver Coastal Health Research Institute; University of British Columbia; Vancouver Coastal Health","funders":"","keywords":"Pandemic; Coronavirus disease 2019 (COVID-19); Economics; Business; Medicine","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true,"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":[0.007977991,0.0003180881,0.0006517733,0.0007298545,0.0007758958,0.00247747,0.0005716828,0.001405943,0.009434895],"category_scores_gemma":[0.01900631,0.00024579,0.001683109,0.0007767999,0.001186654,0.002729874,0.002176097,0.001867509,0.0004995562],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001678404,"about_ca_system_score_gemma":0.001054264,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004390106,"about_ca_topic_score_gemma":0.006262375,"domain_scores_codex":[0.9968194,0.002143981,0.0001438352,0.0002027539,0.0002647516,0.0004253486],"domain_scores_gemma":[0.9826007,0.01245168,0.002194108,0.001009916,0.0005779946,0.001165691],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.06648127,0.04917406,0.574526,0.002106924,0.006443138,0.0007307127,0.005949619,0.05411737,0.006553631,0.08764288,0.0164296,0.1298448],"study_design_scores_gemma":[0.004909001,0.01716281,0.8827352,0.0004246829,0.001504595,0.0002114814,0.01546646,0.02915502,0.001975276,0.0308977,0.01528703,0.0002708053],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9861345,0.000342397,0.0006308313,0.001305145,0.00006662764,0.0001400738,0.0005231971,0.000007863351,0.01084943],"genre_scores_gemma":[0.9968295,0.0002078581,0.0005549008,0.0004291243,0.00002815577,0.0002183074,0.000461374,0.000005687272,0.001265249],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.009434895,"threshold_uncertainty_score":0.04219216,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1815104855261807,"score_gpt":0.5064129602786961,"score_spread":0.3249024747525154,"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."}}