{"id":"W3011246689","doi":"10.1093/ve/veaa011","title":"Public health in genetic spaces: a statistical framework to optimize cluster-based outbreak detection","year":2020,"lang":"en","type":"article","venue":"Virus Evolution","topic":"HIV Research and Treatment","field":"Immunology and Microbiology","cited_by":19,"is_retracted":false,"has_abstract":true,"ca_institutions":"Western University","funders":"National Institute of Allergy and Infectious Diseases; Canadian Institutes of Health Research; Center for AIDS Research, University of Washington","keywords":"Pairwise comparison; Cluster analysis; Covariate; Context (archaeology); Statistics; Population; Statistical power; Cluster (spacecraft); Null hypothesis; Econometrics; Computer science; Geography; Data mining; Mathematics; Demography","routes":{"ca_aff":true,"ca_fund":true,"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":[0.01550528,0.001475102,0.002300453,0.003346506,0.001036934,0.002471072,0.003068372,0.002220225,0.00167376],"category_scores_gemma":[0.03471669,0.00120066,0.001964174,0.002318262,0.002893801,0.001855677,0.002928171,0.002897134,0.0002492748],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.004257404,"about_ca_system_score_gemma":0.004657337,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02180801,"about_ca_topic_score_gemma":0.01359973,"domain_scores_codex":[0.9929749,0.005267457,0.0002017783,0.0007251789,0.0005361636,0.0002945866],"domain_scores_gemma":[0.9801921,0.01520687,0.00140745,0.0007162266,0.002018143,0.0004592317],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00002544676,0.00002746184,0.001103489,0.00002303233,0.00006236629,0.00002521143,0.00004529289,0.9692601,0.0001169203,0.02210951,0.0004704915,0.006730725],"study_design_scores_gemma":[0.000004555686,0.000009699241,0.00008809301,0.000003802594,0.000004012167,0.00000249772,0.00000656951,0.9905,0.00003398005,0.009226182,0.0001169117,0.000003768813],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.01136902,0.000142383,0.9869415,0.0006536402,0.00002489488,0.00006935019,0.0001104875,0.0001782412,0.0005104965],"genre_scores_gemma":[0.3985581,0.000282162,0.5973206,0.0003940425,0.0002101486,0.0005817198,0.0005896916,0.000304336,0.001759255],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.02180801,"threshold_uncertainty_score":0.08200073,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04723515533997124,"score_gpt":0.2941885136552284,"score_spread":0.2469533583152571,"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."}}