{"id":"W3103543186","doi":"10.1073/pnas.2019324117","title":"Event-specific interventions to minimize COVID-19 transmission","year":2020,"lang":"en","type":"article","venue":"Proceedings of the National Academy of Sciences","topic":"COVID-19 epidemiological studies","field":"Mathematics","cited_by":71,"is_retracted":false,"has_abstract":true,"ca_institutions":"Simon Fraser University","funders":"Genome British Columbia; Natural Sciences and Engineering Research Council of Canada; Government of Canada","keywords":"Coronavirus disease 2019 (COVID-19); Transmission (telecommunications); Outbreak; Social distance; Psychological intervention; Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2); Event (particle physics); 2019-20 coronavirus outbreak; Duration (music); Computer science; Statistics; Econometrics; Medicine; Virology; Infectious disease (medical specialty); Mathematics; Telecommunications; Disease; Physics","routes":{"ca_aff":true,"ca_fund":true,"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"],"consensus_categories":[],"category_scores_codex":[0.002048245,0.0001048558,0.0002652528,0.00008508974,0.0002636986,0.00001428183,0.0009047143,0.00006642434,0.0001121402],"category_scores_gemma":[0.01431898,0.00006303029,0.0002350392,0.0009274379,0.0004787591,0.0001516364,0.0002557139,0.0001506184,0.000004690218],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00006565953,"about_ca_system_score_gemma":0.00003081782,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000002995215,"about_ca_topic_score_gemma":3.610968e-8,"domain_scores_codex":[0.9980567,0.00001953198,0.000580452,0.0003081808,0.0008797381,0.0001554667],"domain_scores_gemma":[0.9980237,0.001257948,0.0003907636,0.000007575676,0.0001641935,0.0001557957],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.0001556822,0.0003084479,0.008623798,0.002187492,0.00006331147,3.214297e-8,0.003966121,0.0006712333,0.1361602,0.6959062,0.1492034,0.002754084],"study_design_scores_gemma":[0.0004529263,0.000194873,0.03007265,0.0003973549,0.00003892229,0.000002752296,0.0008894746,0.0008950873,0.02686993,0.9146498,0.02531267,0.0002235727],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"commentary","genre_gemma":"empirical","genre_scores_codex":[0.2699139,0.0008779025,0.007152602,0.7150198,0.00004783189,0.001295759,0.00007267685,0.0001350709,0.005484444],"genre_scores_gemma":[0.9696077,0.00005643015,0.02422924,0.005905476,0.00007131644,0.00002357346,5.794757e-8,0.000003958759,0.0001023051],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.7091144,"threshold_uncertainty_score":0.9939838,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.4879898803209714,"score_gpt":0.4864025986903354,"score_spread":0.001587281630636039,"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."}}