{"id":"W4308045442","doi":"10.1038/s41586-022-05398-2","title":"A multinational Delphi consensus to end the COVID-19 public health threat","year":2022,"lang":"en","type":"article","venue":"Nature","topic":"Vaccine Coverage and Hesitancy","field":"Social Sciences","cited_by":238,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia; University of Calgary; Dalhousie University; University of Toronto; University of Saskatchewan; University of Alberta; University of Ottawa","funders":"Medical Research Council; Generalitat de Catalunya; Centres de Recerca de Catalunya; Ministerio de Ciencia, Innovación y Universidades; National Institute of Allergy and Infectious Diseases; Johns Hopkins University; National Institute for Health and Care Research; City University of New York","keywords":"Multinational corporation; Coronavirus disease 2019 (COVID-19); 2019-20 coronavirus outbreak; Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2); Public health; Delphi method; Business; Political science; Virology; Medicine; Computer science; Law; Infectious disease (medical specialty); Outbreak","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":["metaresearch"],"consensus_categories":[],"category_scores_codex":[0.303267,0.001865776,0.00151383,0.005265428,0.009418896,0.006716879,0.004922686,0.006462436,0.0091134],"category_scores_gemma":[0.2077889,0.001413325,0.002505706,0.003681832,0.008040182,0.007610596,0.02937849,0.006507256,0.001922405],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.01263676,"about_ca_system_score_gemma":0.04217522,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005096476,"about_ca_topic_score_gemma":0.004187172,"domain_scores_codex":[0.6448325,0.3130355,0.01371304,0.005182827,0.01194111,0.01129487],"domain_scores_gemma":[0.8096343,0.1201435,0.005458473,0.009225006,0.04656178,0.008976931],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"qualitative","study_design_scores_codex":[0.001415257,0.0009135188,0.008649677,0.007638483,0.0003392103,0.003006523,0.5552295,0.00729412,0.01102372,0.07565686,0.1078625,0.2209706],"study_design_scores_gemma":[0.0004379528,0.001253892,0.006940892,0.0119315,0.0001302526,0.0008150522,0.6296576,0.01572707,0.00447004,0.08489612,0.2432898,0.0004499301],"study_design_candidate":"qualitative","study_design_consensus":"qualitative","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.4134091,0.004827312,0.2606991,0.1417248,0.00811105,0.1003682,0.002803354,0.0007332355,0.06732392],"genre_scores_gemma":[0.6289648,0.00213929,0.2574736,0.02407039,0.0006861378,0.07783327,0.001223268,0.0002943161,0.007314922],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.303267,"threshold_uncertainty_score":0.8591958,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06009549307076086,"score_gpt":0.3790782103121517,"score_spread":0.3189827172413909,"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."}}