{"meta":{"page":1,"per_page":50,"max_per_page":100,"total":69,"total_is_capped":false,"direct_labels_cover":0,"predictions_cover":69,"direct_label_status":"direct model label, unvalidated","prediction_status":"machine_predicted_unvalidated (Codex and Gemma teacher distillation)","score_status":"score_only:v0-immature-baseline (scores rank; they never assert a category)","snapshot":{"source":"OpenAlex, pinned release, all 482 partitions","release":"2026-06-24","frame_built":"2026-07-12","author_layer_release":"2026-06-26"},"query_hash":"b13742d8be25","filters":{"venue":"Epidemics"}},"results":[{"id":"W2971072970","doi":"10.1016/j.epidem.2019.100356","title":"Improved inference of time-varying reproduction numbers during infectious disease outbreaks","year":2019,"lang":"en","type":"article","venue":"Epidemics","topic":"COVID-19 epidemiological studies","field":"Mathematics","cited_by":578,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"McGill University; Public Health Agency of Canada","funders":"Medical Research Council; Department for International Development; Agence Nationale de la Recherche; University of Oxford; World Health Organization; Department for International Development, UK Government; National Institute for Health and Care Research; United States Agency for International Development","keywords":"Outbreak; Infectious disease (medical specialty); Basic reproduction number; Transmission (telecommunications); Transmissibility (structural dynamics); Ebola virus; Inference; Disease; Biology; Statistics; Computer science; Medicine; Virology; Mathematics; Environmental health; Artificial intelligence; Pathology; Population","authors":[{"name":"Robin N. Thompson","is_ca":false},{"name":"J.E. Stockwin","is_ca":false},{"name":"Rolina D. van Gaalen","is_ca":false},{"name":"Jonathan A. Polonsky","is_ca":false},{"name":"Zhian N. Kamvar","is_ca":false},{"name":"P.A. Demarsh","is_ca":true},{"name":"Elisabeth Dahlqwist","is_ca":false},{"name":"S. Li","is_ca":false},{"name":"Eve Miguel","is_ca":false},{"name":"Thibaut Jombart","is_ca":false},{"name":"Justin Lessler","is_ca":false},{"name":"Simon Cauchemez","is_ca":false},{"name":"Anne Cori","is_ca":false}],"retraction":null,"screen_n_in":null,"score":{"opus":0.08054742555215193,"gpt":0.3710720190597833,"spread":0.2905245935076313,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.006243161,0.0005592704,0.0009319826,0.001861757,0.0002670998,0.0009650306,0.001501161,0.0008949823,0.001558211],"category_scores_gemma":[0.04476264,0.0006339828,0.0009101042,0.001046127,0.0005826284,0.001170561,0.001045182,0.001285322,0.0003995171],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005118035,"about_ca_system_score_gemma":0.0004533013,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0057901,"about_ca_topic_score_gemma":0.003801744,"domain_scores_codex":[0.9979843,0.00110636,0.0001072899,0.0005740987,0.0001470961,0.00008081906],"domain_scores_gemma":[0.979039,0.01743796,0.00157559,0.001259236,0.0005105876,0.0001775905],"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":[0.0003809203,0.00007612858,0.1597369,0.0005120445,0.0005982209,0.0005369717,0.0006596713,0.7227458,0.006471395,0.01662241,0.003827146,0.08783238],"study_design_scores_gemma":[0.00003502495,0.00003929666,0.02390018,0.00006404932,0.00005888504,0.0001630713,0.00003346502,0.9587786,0.00142302,0.01366403,0.001781006,0.00005934055],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.2055566,0.001491906,0.7840954,0.000496983,0.00007650264,0.00006198204,0.003777881,0.002005876,0.002436933],"genre_scores_gemma":[0.8495787,0.0006286858,0.1423906,0.0001705665,0.0001312794,0.0001369355,0.005505742,0.0003368561,0.001120718],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.006243161,"threshold_uncertainty_score":0.03301734,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2133986066","doi":"10.1016/j.epidem.2014.09.005","title":"Nine challenges in incorporating the dynamics of behaviour in infectious diseases models","year":2014,"lang":"en","type":"article","venue":"Epidemics","topic":"COVID-19 epidemiological studies","field":"Mathematics","cited_by":261,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":false},"ca_institutions":"University of Waterloo","funders":"Fogarty International Center; National Institutes of Health; Isaac Newton Institute for Mathematical Sciences; National Institute for Health and Care Research; Natural Sciences and Engineering Research Council of Canada; Medical Research Council; U.S. Department of Homeland Security","keywords":"Infectious disease (medical specialty); Dynamics (music); Scope (computer science); Disease; Risk analysis (engineering); Computer science; Medicine; Psychology","authors":[{"name":"Sebastian Funk","is_ca":false},{"name":"Shweta Bansal","is_ca":false},{"name":"Chris T. Bauch","is_ca":true},{"name":"Ken Eames","is_ca":false},{"name":"W. John Edmunds","is_ca":false},{"name":"Alison P. Galvani","is_ca":false},{"name":"Petra Klepac","is_ca":false}],"retraction":null,"screen_n_in":null,"score":{"opus":0.2304880340641874,"gpt":0.3925123912972004,"spread":0.162024357233013,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.02077493,0.001068723,0.00216066,0.001321808,0.00130789,0.004026077,0.003916882,0.004107959,0.002710221],"category_scores_gemma":[0.06688066,0.001213714,0.002060323,0.001266315,0.003961416,0.008857945,0.005037751,0.006400706,0.001096857],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001848653,"about_ca_system_score_gemma":0.003134547,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01095062,"about_ca_topic_score_gemma":0.007796319,"domain_scores_codex":[0.9887103,0.00813214,0.0008651233,0.0008175991,0.001206906,0.0002679225],"domain_scores_gemma":[0.9482473,0.03975493,0.00229396,0.005048736,0.003520182,0.001134948],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.000100708,0.0002102802,0.007538728,0.0008924645,0.0003311062,0.0005280151,0.001097787,0.3398019,0.001141025,0.5654131,0.01128386,0.07166099],"study_design_scores_gemma":[0.00002997386,0.00005459752,0.0009509269,0.0002817787,0.00004304299,0.0002369519,0.0002884152,0.3217179,0.0002112414,0.6544136,0.02170547,0.00006619935],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.02514286,0.009735256,0.8794582,0.07153203,0.001003482,0.0001671478,0.0007795226,0.0004252832,0.0117563],"genre_scores_gemma":[0.3207704,0.01275741,0.6531034,0.00398882,0.002005086,0.0005697308,0.0006017832,0.0003364781,0.005866914],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.02077493,"threshold_uncertainty_score":0.1098697,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2609009548","doi":"10.1016/j.epidem.2017.04.003","title":"Effectiveness of personal protective measures in reducing pandemic influenza transmission: A systematic review and meta-analysis","year":2017,"lang":"en","type":"review","venue":"Epidemics","topic":"Influenza Virus Research Studies","field":"Medicine","cited_by":188,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":false},"ca_institutions":"University of Ottawa","funders":"University of Ottawa","keywords":"Meta-analysis; CINAHL; Pandemic; Medicine; Personal protective equipment; Cochrane Library; MEDLINE; Transmission (telecommunications); Psychological intervention; Influenza pandemic; Random effects model; Hygiene; Coronavirus disease 2019 (COVID-19); Environmental health; Intensive care medicine; Internal medicine; Pathology; Disease; Biology","authors":[{"name":"Patrick Saunders‐Hastings","is_ca":true},{"name":"James A. G. Crispo","is_ca":true},{"name":"Lindsey Sikora","is_ca":true},{"name":"Daniel Krewski","is_ca":true}],"retraction":null,"screen_n_in":null,"score":{"opus":0.4873156931877036,"gpt":0.5194216716393626,"spread":0.03210597845165902,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":["metaresearch","metaepi_broad"],"consensus_categories":[],"category_scores_codex":[0.01117842,0.002450052,0.01566058,0.006914229,0.0005995316,0.003081781,0.001896969,0.002113396,0.004125829],"category_scores_gemma":[0.03117054,0.001368162,0.02270093,0.006340829,0.0006311602,0.001853928,0.001273057,0.001786757,0.0002596111],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002831253,"about_ca_system_score_gemma":0.005817549,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005257759,"about_ca_topic_score_gemma":0.01278478,"domain_scores_codex":[0.9938804,0.002595384,0.001935567,0.0004451459,0.0009378195,0.0002056902],"domain_scores_gemma":[0.9858511,0.01084535,0.001869187,0.0002484373,0.001021941,0.0001639465],"domain_codex":null,"domain_gemma":"methods","domain_candidate":"methods","domain_consensus":null,"study_design_codex":"systematic_review","study_design_gemma":"meta_analysis","study_design_scores_codex":[0.0008592598,0.00004312351,0.0009460953,0.8413876,0.1254447,0.00009016239,0.000094255,0.0002994036,0.0001949529,0.0001567963,0.0006543986,0.02982922],"study_design_scores_gemma":[0.0007368158,0.000511268,0.003229452,0.1952455,0.7936445,0.0001933586,0.0001160553,0.0002046156,0.0002743689,0.0002796968,0.005529867,0.00003452472],"study_design_candidate":"meta_analysis","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.001429817,0.9975707,0.0001848407,0.0001172561,0.00007714231,0.0002837216,0.0001543512,0.000009444569,0.0001727231],"genre_scores_gemma":[0.02475445,0.9728488,0.001076386,0.0002720927,0.00009770503,0.0006442054,0.0001774761,0.000006233654,0.0001225414],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.9888216,"threshold_uncertainty_score":0.05911785,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W3025337462","doi":"10.1016/j.epidem.2020.100392","title":"The time scale of asymptomatic transmission affects estimates of epidemic potential in the COVID-19 outbreak","year":2020,"lang":"en","type":"article","venue":"Epidemics","topic":"COVID-19 epidemiological studies","field":"Mathematics","cited_by":172,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":false},"ca_institutions":"McMaster University","funders":"Army Research Office; National Institute of Allergy and Infectious Diseases; Canadian Institutes of Health Research; Simons Foundation; National Institutes of Health; National Science Foundation","keywords":"Asymptomatic; Transmission (telecommunications); Population; Medicine; Pandemic; Basic reproduction number; Disease; Coronavirus disease 2019 (COVID-19); Internal medicine; Infectious disease (medical specialty); Computer science; Environmental health","authors":[{"name":"Sang Woo Park","is_ca":false},{"name":"Daniel M. Cornforth","is_ca":false},{"name":"Jonathan Dushoff","is_ca":true},{"name":"Joshua S. Weitz","is_ca":false}],"retraction":null,"screen_n_in":null,"score":{"opus":0.1292152201346,"gpt":0.39337828340449,"spread":0.2641630632698899,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.009178873,0.0003319188,0.00033454,0.001056586,0.0003785893,0.001022406,0.0005497304,0.0005510655,0.0009138437],"category_scores_gemma":[0.08140754,0.0002352385,0.0004623871,0.0005870985,0.0008157328,0.002118982,0.001174836,0.0009050735,0.0001312874],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004009368,"about_ca_system_score_gemma":0.0003750562,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003064738,"about_ca_topic_score_gemma":0.002158422,"domain_scores_codex":[0.9982722,0.001200461,0.00008037436,0.0002379464,0.0001247342,0.00008437697],"domain_scores_gemma":[0.9397146,0.05462461,0.002838386,0.001566426,0.0008884044,0.0003676051],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0007824411,0.00009414025,0.6483063,0.0003592183,0.0004011765,0.0007846783,0.001363394,0.2453355,0.004552998,0.03741676,0.001826327,0.05877714],"study_design_scores_gemma":[0.00004363145,0.0002182855,0.4735238,0.000257004,0.0001439306,0.0008609956,0.001441775,0.4482664,0.001839867,0.07136267,0.001949218,0.00009258217],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.939985,0.001265043,0.05165291,0.001101415,0.00003624165,0.00003647702,0.000383138,0.00005802179,0.005481775],"genre_scores_gemma":[0.9961195,0.0001878581,0.003220922,0.00003301617,0.00001673568,0.00001205871,0.0001987029,0.00001429472,0.0001968798],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.009178873,"threshold_uncertainty_score":0.0485431,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2030860586","doi":"10.1016/j.epidem.2009.06.002","title":"Biodiversity and Lyme disease: Dilution or amplification?","year":2009,"lang":"en","type":"article","venue":"Epidemics","topic":"Vector-borne infectious diseases","field":"Immunology and Microbiology","cited_by":159,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"Public Health Agency of Canada","funders":"","keywords":"Lyme disease; Ixodes scapularis; Borrelia burgdorferi; Biodiversity; Ixodes; Abundance (ecology); Transmission (telecommunications); Biology; Disease; Ecology; Medicine; Immunology; Internal medicine","authors":[{"name":"N. H. Ogden","is_ca":true},{"name":"Jean I. Tsao","is_ca":false}],"retraction":null,"screen_n_in":null,"score":{"opus":0.02310597172356238,"gpt":0.2633331703017509,"spread":0.2402271985781885,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001275915,0.0004908078,0.0005322382,0.0004013616,0.0002912368,0.00177091,0.0007876205,0.0008952513,0.003831452],"category_scores_gemma":[0.00472963,0.0004002902,0.0006375414,0.0003105513,0.001912498,0.003015524,0.00191817,0.0006703128,0.0002668397],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0009484586,"about_ca_system_score_gemma":0.0003706775,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001408781,"about_ca_topic_score_gemma":0.0009516983,"domain_scores_codex":[0.999456,0.0002325336,0.00002290627,0.00007413143,0.00009318112,0.0001212643],"domain_scores_gemma":[0.9979764,0.001069248,0.000535936,0.0001360271,0.00009333067,0.0001889759],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.002491014,0.0008805559,0.2433935,0.001141896,0.0005898623,0.003573126,0.002931135,0.2563961,0.1105853,0.2560808,0.002371683,0.1195649],"study_design_scores_gemma":[0.0004157095,0.002604558,0.1744059,0.0002659447,0.0004506717,0.002872959,0.002215774,0.387443,0.01784439,0.4007263,0.01044671,0.0003081658],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9679068,0.001576962,0.01481205,0.002796918,0.00003980362,0.00005516812,0.00006680431,0.00007171951,0.0126738],"genre_scores_gemma":[0.9986126,0.0002390991,0.0006252826,0.00008748855,0.00001306314,0.00001060744,0.000006182501,0.000003819361,0.0004017674],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.003831452,"threshold_uncertainty_score":0.01281744,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2010486430","doi":"10.1016/j.epidem.2013.09.004","title":"Examining rainfall and cholera dynamics in Haiti using statistical and dynamic modeling approaches","year":2013,"lang":"en","type":"article","venue":"Epidemics","topic":"Vibrio bacteria research studies","field":"Biochemistry, Genetics and Molecular Biology","cited_by":158,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"Public Health Ontario; University of Toronto","funders":"Goddard Space Flight Center; National Science Foundation","keywords":"Cholera; Sanitation; Geography; Distributed lag; Incidence (geometry); Climatology; Environmental science; Statistics; Mathematics; Biology","authors":[{"name":"Marisa C. Eisenberg","is_ca":false},{"name":"Gregory Kujbida","is_ca":true},{"name":"Ashleigh R. Tuite","is_ca":true},{"name":"David N. Fisman","is_ca":true},{"name":"Joseph H. Tien","is_ca":false}],"retraction":null,"screen_n_in":null,"score":{"opus":0.08616396658509023,"gpt":0.3011949977610767,"spread":0.2150310311759864,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001000205,0.0005967959,0.0003306195,0.001347982,0.0004751325,0.001040255,0.0005641991,0.0006235708,0.0005784403],"category_scores_gemma":[0.003268606,0.0003545185,0.0006809552,0.001156373,0.0004527399,0.00104683,0.0007041245,0.0004881395,0.00006572322],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001783662,"about_ca_system_score_gemma":0.001529732,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.07216483,"about_ca_topic_score_gemma":0.04775508,"domain_scores_codex":[0.9996881,0.0001560241,0.00001548095,0.00005762402,0.0000392061,0.00004349096],"domain_scores_gemma":[0.998526,0.001038093,0.0002349943,0.0000406092,0.0001128546,0.00004743117],"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":[0.00004574986,0.0001308251,0.07133208,0.00004039187,0.0002002547,0.00009093528,0.0001296818,0.9116758,0.000982531,0.006777803,0.0002190451,0.008374911],"study_design_scores_gemma":[0.00000354548,0.00002922417,0.01085665,0.000004310393,0.00002252741,0.00001125543,0.0001054223,0.9874351,0.0001287701,0.00117106,0.000222121,0.00001009148],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9690601,0.0002564067,0.02682428,0.0005762102,0.00001598706,0.0000482361,0.0004430587,0.00009575655,0.002679924],"genre_scores_gemma":[0.9922363,0.0002879593,0.006666369,0.00003466951,0.00001584883,0.0000488841,0.0002853812,0.00001078529,0.0004137098],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.07216483,"threshold_uncertainty_score":0.1434896,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W4225310480","doi":"10.1016/j.epidem.2022.100560","title":"A wastewater-based epidemic model for SARS-CoV-2 with application to three Canadian cities","year":2022,"lang":"en","type":"article","venue":"Epidemics","topic":"SARS-CoV-2 detection and testing","field":"Medicine","cited_by":122,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":true},"ca_institutions":"Toronto Public Health; Alberta Hospital Edmonton; University of Alberta; University of Ottawa; Public Health Agency of Canada","funders":"Ministry of Environment; Université Laval","keywords":"Wastewater; Environmental health; Population; Public health; Basic reproduction number; Epidemiology; Transmission (telecommunications); Medicine; Environmental science; Computer science; Environmental engineering; Pathology; Telecommunications","authors":[{"name":"Shokoofeh Nourbakhsh","is_ca":true},{"name":"Aamir Fazil","is_ca":true},{"name":"Michael Li","is_ca":true},{"name":"Chand S. Mangat","is_ca":true},{"name":"Shelley Peterson","is_ca":true},{"name":"Jade Daigle","is_ca":true},{"name":"Stacie Langner","is_ca":true},{"name":"Jayson Shurgold","is_ca":true},{"name":"Patrick M. D’Aoust","is_ca":true},{"name":"Robert Delatolla","is_ca":true},{"name":"Elizabeth Mercier","is_ca":true},{"name":"Xiaoli Pang","is_ca":true},{"name":"Bonita E. Lee","is_ca":true},{"name":"Rebecca Stuart","is_ca":true},{"name":"Shinthuja Wijayasri","is_ca":true},{"name":"David Champredon","is_ca":true}],"retraction":null,"screen_n_in":null,"score":{"opus":0.07396732294252165,"gpt":0.3124884196850803,"spread":0.2385210967425586,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001028373,0.00123144,0.001085584,0.001024747,0.001947297,0.001767541,0.0031676,0.002895014,0.005562189],"category_scores_gemma":[0.002823088,0.0005589196,0.001358522,0.001645801,0.001927741,0.0006602668,0.001841832,0.001618966,0.0003580925],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.01558682,"about_ca_system_score_gemma":0.01280484,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9372878,"about_ca_topic_score_gemma":0.8572489,"domain_scores_codex":[0.9994583,0.0001344073,0.00001825428,0.00007994482,0.00006292307,0.0002462065],"domain_scores_gemma":[0.9984432,0.0005877584,0.0001651763,0.00004017182,0.0004956375,0.0002680415],"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":[0.00008050153,0.0000500921,0.00489143,0.0000281107,0.00002612578,0.0001857622,0.0000911235,0.9817301,0.0002889854,0.01005522,0.001515411,0.001057144],"study_design_scores_gemma":[0.00007296774,0.00002597273,0.002368399,0.00000941281,0.00002458994,0.00001895442,0.0002344762,0.9947047,0.00004444348,0.001606474,0.0008567287,0.00003289821],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.874893,0.001285978,0.04723544,0.007294189,0.0002475769,0.0004643219,0.01279435,0.0003593826,0.05542567],"genre_scores_gemma":[0.9721813,0.0005722813,0.006699994,0.0003393734,0.00004123216,0.0001862344,0.002325633,0.00003650856,0.01761743],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.06271219,"threshold_uncertainty_score":0.126163,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2221479036","doi":"10.1016/j.epidem.2015.11.002","title":"Decision-making for foot-and-mouth disease control: Objectives matter","year":2015,"lang":"en","type":"article","venue":"Epidemics","topic":"Animal Disease Management and Epidemiology","field":"Agricultural and Biological Sciences","cited_by":88,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"University of Guelph","funders":"Biotechnology and Biological Sciences Research Council; Science and Technology Directorate; Bill and Melinda Gates Foundation; National Institute of General Medical Sciences; U.S. Department of Homeland Security; National Institutes of Health; National Science Foundation","keywords":"Statistic; Framing (construction); Context (archaeology); Outbreak; Computer science; Control (management); Metric (unit); Foot-and-mouth disease; Operations research; Risk analysis (engineering); Management science; Statistics; Operations management; Mathematics; Medicine; Geography; Artificial intelligence; Economics","authors":[{"name":"William J. M. Probert","is_ca":false},{"name":"Katriona Shea","is_ca":false},{"name":"Christopher Fonnesbeck","is_ca":false},{"name":"Michael C. Runge","is_ca":false},{"name":"Tim E. Carpenter","is_ca":false},{"name":"Salome Dürr","is_ca":false},{"name":"M.G. Garner","is_ca":false},{"name":"Neil Harvey","is_ca":true},{"name":"Mark A. Stevenson","is_ca":false},{"name":"Colleen T. Webb","is_ca":false},{"name":"Marleen Werkman","is_ca":false},{"name":"Michael J. Tildesley","is_ca":false},{"name":"Matthew J. Ferrari","is_ca":false}],"retraction":null,"screen_n_in":null,"score":{"opus":0.04141559103250356,"gpt":0.2911117070330736,"spread":0.24969611600057,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.02449808,0.00137139,0.001651038,0.002402657,0.002479671,0.01049546,0.001638509,0.002370101,0.006763425],"category_scores_gemma":[0.05078312,0.0006182356,0.0015627,0.002715892,0.00599475,0.008684061,0.003439929,0.003759883,0.0003967991],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.008199806,"about_ca_system_score_gemma":0.009149119,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.006539881,"about_ca_topic_score_gemma":0.009750265,"domain_scores_codex":[0.9834646,0.01246444,0.0005299691,0.0007362521,0.001848579,0.0009562046],"domain_scores_gemma":[0.961122,0.03109839,0.00367672,0.00139631,0.001579761,0.001126935],"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":[0.0001517569,0.0001390479,0.004185492,0.0005453054,0.0001464279,0.0001675003,0.001492114,0.2602697,0.0007493382,0.6936128,0.001387833,0.03715255],"study_design_scores_gemma":[0.00004110794,0.000132959,0.001241204,0.0003336639,0.00004896949,0.00003548812,0.001858451,0.1498251,0.0005018796,0.8408989,0.00502781,0.00005458083],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1324849,0.001883686,0.789294,0.01787616,0.0003457882,0.000549091,0.000458112,0.0001622729,0.05694598],"genre_scores_gemma":[0.8454528,0.001122505,0.1510067,0.0004307614,0.00005457158,0.000312549,0.0001122846,0.00005366986,0.001454239],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.02449808,"threshold_uncertainty_score":0.1295598,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2993124772","doi":"10.1016/j.epidem.2019.100382","title":"Temperature-dependent variation in the extrinsic incubation period elevates the risk of vector-borne disease emergence","year":2019,"lang":"en","type":"article","venue":"Epidemics","topic":"Mosquito-borne diseases and control","field":"Medicine","cited_by":82,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":false},"ca_institutions":"University of Toronto","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Incubation period; Incubation; Vector (molecular biology); Temperate climate; Biology; Transmission (telecommunications); Range (aeronautics); Dengue fever; Disease transmission; Disease; Variation (astronomy); Ecology; Immunology; Medicine; Virology; Internal medicine","authors":[{"name":"Tsukushi Kamiya","is_ca":true},{"name":"Megan A. Greischar","is_ca":true},{"name":"Kiran Wadhawan","is_ca":true},{"name":"Benjamin Gilbert","is_ca":true},{"name":"Krijn P. Paaijmans","is_ca":false},{"name":"Nicole Mideo","is_ca":true}],"retraction":null,"screen_n_in":null,"score":{"opus":0.008251028593380614,"gpt":0.2525356433850504,"spread":0.2442846147916698,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0008160033,0.000328871,0.0004335588,0.0002902167,0.0003189481,0.000981307,0.0003650655,0.0004321388,0.0015957],"category_scores_gemma":[0.004320637,0.0002681076,0.000641154,0.0002026874,0.0005164645,0.0006683437,0.0008099392,0.0006585179,0.0001914786],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004600475,"about_ca_system_score_gemma":0.0003478807,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002736953,"about_ca_topic_score_gemma":0.004447571,"domain_scores_codex":[0.9994753,0.0001956021,0.00003625186,0.0001575815,0.00004301723,0.00009235351],"domain_scores_gemma":[0.9980325,0.0007317832,0.0007796845,0.0002031746,0.0001176775,0.000135275],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0005455653,0.0002727113,0.6644731,0.0001515091,0.000747485,0.0005324574,0.0003201227,0.2747524,0.03264307,0.009770083,0.0008292786,0.01496217],"study_design_scores_gemma":[0.00002644336,0.000415877,0.5219231,0.00003998037,0.0002992126,0.0006564811,0.0002390489,0.4609189,0.004226242,0.009863327,0.001302665,0.00008886433],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9769065,0.0002465613,0.02062671,0.0001464625,0.00002220962,0.00001434755,0.0002130799,0.00004842821,0.00177573],"genre_scores_gemma":[0.9988003,0.00007607236,0.0008176545,0.00001361584,0.000005437837,0.000004854177,0.00007110979,0.000005575903,0.000205365],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.002736953,"threshold_uncertainty_score":0.005441964,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W3175878819","doi":"10.1016/j.epidem.2021.100482","title":"Estimating the generation interval and inferring the latent period of COVID-19 from the contact tracing data","year":2021,"lang":"en","type":"article","venue":"Epidemics","topic":"COVID-19 epidemiological studies","field":"Mathematics","cited_by":77,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"York University","funders":"General Research Fund of Shanghai Normal University; Research Grants Council, University Grants Committee","keywords":"Contact tracing; Incubation period; Coronavirus disease 2019 (COVID-19); Asymptomatic; Confidence interval; Transmission (telecommunications); Medicine; Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2); Demography; Internal medicine; Biology; Disease; Incubation; Infectious disease (medical specialty); Computer science","authors":[{"name":"Shi Zhao","is_ca":false},{"name":"Biao Tang","is_ca":true},{"name":"Salihu S. Musa","is_ca":false},{"name":"Shujuan Ma","is_ca":false},{"name":"Jiayue Zhang","is_ca":false},{"name":"Minyan Zeng","is_ca":false},{"name":"Qingping Yun","is_ca":false},{"name":"Wei Guo","is_ca":false},{"name":"Yixiang Zheng","is_ca":false},{"name":"Zu‐Yao Yang","is_ca":false},{"name":"Zhihang Peng","is_ca":false},{"name":"Ka Chun Chong","is_ca":false},{"name":"Mohammad Javanbakht","is_ca":false},{"name":"Daihai He","is_ca":false},{"name":"Maggie Haitian Wang","is_ca":false}],"retraction":null,"screen_n_in":null,"score":{"opus":0.5105263693617862,"gpt":0.4620609133927262,"spread":0.04846545596905999,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.006054867,0.0005893172,0.0007881555,0.00119057,0.0004914173,0.001091195,0.001167016,0.000945934,0.001863232],"category_scores_gemma":[0.02583049,0.0003391171,0.001330676,0.0008815919,0.0006797033,0.001348229,0.001231328,0.001524302,0.0004481105],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006387971,"about_ca_system_score_gemma":0.0009254065,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01114075,"about_ca_topic_score_gemma":0.007347489,"domain_scores_codex":[0.9985259,0.0006915039,0.00007765307,0.0004331685,0.0001177,0.0001541411],"domain_scores_gemma":[0.9893762,0.008091913,0.001293906,0.0006121394,0.0004199506,0.0002057774],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0004601655,0.0001536199,0.6361568,0.0002657522,0.0005139748,0.0006189703,0.001109516,0.2714828,0.002715013,0.01717343,0.002449912,0.0669001],"study_design_scores_gemma":[0.00006349025,0.0001357805,0.111808,0.0001387506,0.0002917284,0.0005798666,0.0004543051,0.8621765,0.001360852,0.01993237,0.002957275,0.0001010173],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7492477,0.0017715,0.2432516,0.0006803061,0.00006129602,0.0001127357,0.002658582,0.0002704564,0.00194589],"genre_scores_gemma":[0.9654918,0.0004597869,0.02906568,0.00009632935,0.00004098826,0.0001107983,0.003904758,0.00003566026,0.000794255],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01114075,"threshold_uncertainty_score":0.03202158,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2910006651","doi":"10.1016/j.epidem.2018.12.002","title":"A practical generation-interval-based approach to inferring the strength of epidemics from their speed","year":2019,"lang":"en","type":"article","venue":"Epidemics","topic":"COVID-19 epidemiological studies","field":"Mathematics","cited_by":71,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":false},"ca_institutions":"York University; McMaster University","funders":"Army Research Office; Canadian Institutes of Health Research","keywords":"Generation time; Interval (graph theory); Statistics; Mathematics; Rabies; Exponential growth; Applied mathematics; Basic reproduction number; Econometrics; Biology; Combinatorics; Virology; Mathematical analysis; Demography; Population","authors":[{"name":"Sang Woo Park","is_ca":true},{"name":"David Champredon","is_ca":true},{"name":"Joshua S. Weitz","is_ca":false},{"name":"Jonathan Dushoff","is_ca":true}],"retraction":null,"screen_n_in":null,"score":{"opus":0.3963448800162717,"gpt":0.4381429652915548,"spread":0.04179808527528311,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.004001336,0.0005899151,0.0007530808,0.001941906,0.0004792207,0.001147512,0.001797514,0.001053453,0.003001151],"category_scores_gemma":[0.02564894,0.0005374976,0.0007821319,0.001572381,0.0007812208,0.001474714,0.001132467,0.00179116,0.0004919419],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007723902,"about_ca_system_score_gemma":0.000621508,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004632567,"about_ca_topic_score_gemma":0.003565752,"domain_scores_codex":[0.9986564,0.0008095988,0.00005165459,0.0002541483,0.0001684574,0.00005972133],"domain_scores_gemma":[0.9910913,0.007032139,0.0006456849,0.0007180564,0.0004038535,0.000109006],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.0001172462,0.00006824891,0.01050066,0.0001173662,0.0001198734,0.0002440478,0.0003646153,0.7483293,0.001689742,0.1480252,0.001727875,0.08869578],"study_design_scores_gemma":[0.00000944489,0.00002434414,0.001295331,0.00001742979,0.00001451101,0.0001238829,0.00002676564,0.9471958,0.0002582136,0.04995903,0.001060099,0.00001521309],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.01263055,0.0001717642,0.9851828,0.0001934878,0.00001943108,0.00003635445,0.0001276514,0.0001903844,0.001447538],"genre_scores_gemma":[0.4389223,0.0005392895,0.5566147,0.0001788617,0.0001003437,0.0001756987,0.0007051258,0.00009141663,0.002672276],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.004632567,"threshold_uncertainty_score":0.02116132,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W4211173190","doi":"10.1016/j.epidem.2022.100547","title":"Challenges in estimation, uncertainty quantification and elicitation for pandemic modelling","year":2022,"lang":"en","type":"article","venue":"Epidemics","topic":"COVID-19 epidemiological studies","field":"Mathematics","cited_by":57,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"University of British Columbia","funders":"Division of Mathematical Sciences; Research England; Medical Research Council; National Science Foundation; Royal Society; Engineering and Physical Sciences Research Council; UK Research and Innovation; Alan Turing Institute; Rural and Environment Science and Analytical Services Division; Scottish Government; Conselho Nacional de Desenvolvimento Científico e Tecnológico; ZonMw; Isaac Newton Institute for Mathematical Sciences; Wellcome Trust","keywords":"Estimation; Pandemic; Computer science; Inference; Judgement; Coronavirus disease 2019 (COVID-19); Data science; Infectious disease (medical specialty); Expert elicitation; Point estimation; Uncertainty quantification; 2019-20 coronavirus outbreak; Risk analysis (engineering); Data mining; Machine learning; Artificial intelligence; Disease; Medicine; Statistics; Engineering; Political science; Mathematics","authors":[{"name":"Ben Swallow","is_ca":false},{"name":"Paul Birrell","is_ca":false},{"name":"Joshua Blake","is_ca":false},{"name":"Mark A. Burgman","is_ca":false},{"name":"Peter Challenor","is_ca":false},{"name":"Luc E. Coffeng","is_ca":false},{"name":"A. P. Dawid","is_ca":false},{"name":"Daniela De Angelis","is_ca":false},{"name":"Michael Goldstein","is_ca":false},{"name":"Victoria Hemming","is_ca":true},{"name":"Glenn Marion","is_ca":false},{"name":"Trevelyan J. McKinley","is_ca":false},{"name":"Christopher E. Overton","is_ca":false},{"name":"Jasmina Panovska‐Griffiths","is_ca":false},{"name":"Lorenzo Pellis","is_ca":false},{"name":"Will Probert","is_ca":false},{"name":"Katriona Shea","is_ca":false},{"name":"Daniel Antunes Maciel Villela","is_ca":false},{"name":"Ian Vernon","is_ca":false}],"retraction":null,"screen_n_in":null,"score":{"opus":0.6439689404182938,"gpt":0.4774104970680796,"spread":0.1665584433502141,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.1079452,0.001139842,0.003097286,0.003596096,0.00204948,0.01022706,0.004166581,0.005286695,0.002688375],"category_scores_gemma":[0.2662643,0.001424375,0.002036486,0.003648336,0.009449893,0.01494918,0.007910486,0.008895924,0.0004726054],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.004888174,"about_ca_system_score_gemma":0.006415528,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.007550277,"about_ca_topic_score_gemma":0.004462104,"domain_scores_codex":[0.9156467,0.06845327,0.004425637,0.003560771,0.007018872,0.0008947478],"domain_scores_gemma":[0.6111385,0.3554222,0.009489711,0.01148238,0.01097909,0.001488007],"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":[0.0000650431,0.00006221301,0.002411834,0.0006337169,0.0001628833,0.0001900172,0.001474699,0.08445,0.0002793045,0.8594113,0.004165225,0.04669384],"study_design_scores_gemma":[0.000007457255,0.00001087915,0.0002626743,0.0002143495,0.00001042308,0.00003498282,0.0003754909,0.05442242,0.0001161588,0.9407121,0.003800059,0.0000330323],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.006890235,0.004088389,0.9397635,0.04353572,0.0002577383,0.0001175471,0.0005054274,0.00008509719,0.0047563],"genre_scores_gemma":[0.4592228,0.006597701,0.5259655,0.003744021,0.001698424,0.0006850687,0.0007854636,0.0001388703,0.001162233],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.1079452,"threshold_uncertainty_score":0.5708757,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2565038447","doi":"10.1016/j.epidem.2016.12.001","title":"Defining epidemics in computer simulation models: How do definitions influence conclusions?","year":2016,"lang":"en","type":"article","venue":"Epidemics","topic":"COVID-19 epidemiological studies","field":"Mathematics","cited_by":52,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false},"ca_institutions":"","funders":"Government of Canada; University of Missouri","keywords":"Public health interventions; Cutoff; Computer science; Epidemic model; Public health; Population; Infectious disease (medical specialty); Disease; Data science; Psychological intervention; Econometrics; Operations research; Risk analysis (engineering); Medicine; Environmental health; Pathology; Engineering; Mathematics","authors":[{"name":"Carolyn Orbann","is_ca":false},{"name":"Lisa Sattenspiel","is_ca":false},{"name":"Erin L. Miller","is_ca":false},{"name":"Jessica Dimka","is_ca":false}],"retraction":null,"screen_n_in":null,"score":{"opus":0.3454422967654884,"gpt":0.4195550114551164,"spread":0.07411271468962799,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":["metaresearch"],"consensus_categories":["metaresearch"],"category_scores_codex":[0.3133414,0.003304525,0.007356408,0.01220351,0.003951809,0.0281903,0.009546135,0.006802108,0.00312448],"category_scores_gemma":[0.6743298,0.002823934,0.003348512,0.01315673,0.02500391,0.04982673,0.0120323,0.02053077,0.0008714969],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0105986,"about_ca_system_score_gemma":0.008426493,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.008360229,"about_ca_topic_score_gemma":0.005509107,"domain_scores_codex":[0.5690802,0.3858471,0.01377159,0.0102893,0.01864962,0.002362164],"domain_scores_gemma":[0.2328045,0.6938958,0.01870225,0.02912,0.02299899,0.002478398],"domain_codex":null,"domain_gemma":"methods","domain_candidate":"methods","domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0001733508,0.0001541794,0.01126365,0.002323607,0.00106025,0.0001725357,0.006447209,0.03103278,0.0002185873,0.8855349,0.01005204,0.05156695],"study_design_scores_gemma":[0.00007270625,0.00009683047,0.001571299,0.002957454,0.0001767329,0.0001238779,0.002783819,0.04157001,0.0004872603,0.929258,0.02073866,0.0001634045],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.02516112,0.04311579,0.8112651,0.09661207,0.005074041,0.0005030805,0.0006442607,0.0006834465,0.01694112],"genre_scores_gemma":[0.4799076,0.02843069,0.4623487,0.01922427,0.003959885,0.002479562,0.0007283423,0.001601764,0.001319078],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.6866586,"threshold_uncertainty_score":0.8467723,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2085366875","doi":"10.1016/j.epidem.2012.10.001","title":"Pre-existence and emergence of drug resistance in a generalized model of intra-host viral dynamics","year":2012,"lang":"en","type":"article","venue":"Epidemics","topic":"Hepatitis C virus research","field":"Medicine","cited_by":49,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false},"ca_institutions":"","funders":"Natural Sciences and Engineering Research Council of Canada; Eidgenössische Technische Hochschule Zürich; European Commission","keywords":"Context (archaeology); Viral life cycle; Mutation rate; Biology; Population; Mutation; Drug resistance; Virology; Virus; Viral quasispecies; Host (biology); Human immunodeficiency virus (HIV); Resistance mutation; Viral replication; Hepatitis C virus; Genetics; Medicine; Gene; RNA; Reverse transcriptase","authors":[{"name":"Helen K. Alexander","is_ca":false},{"name":"Sebastian Bonhoeffer","is_ca":false}],"retraction":null,"screen_n_in":null,"score":{"opus":0.04566529432938569,"gpt":0.3487374414611694,"spread":0.3030721471317837,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0009393982,0.0009799523,0.00164958,0.0009018832,0.0008935768,0.001809332,0.001816347,0.002665972,0.003072701],"category_scores_gemma":[0.003166733,0.0007099095,0.001376499,0.0006307909,0.002450901,0.002077943,0.001640313,0.001376076,0.0005264836],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001656782,"about_ca_system_score_gemma":0.001528203,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0171152,"about_ca_topic_score_gemma":0.007879431,"domain_scores_codex":[0.9995909,0.0001603631,0.00001449636,0.0000656932,0.00005195422,0.0001165765],"domain_scores_gemma":[0.9989409,0.000480218,0.0002324512,0.00006584547,0.000105487,0.0001751342],"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":[0.00009174969,0.00005741653,0.001895187,0.00005264192,0.00005955384,0.0004469381,0.00023124,0.8944016,0.002941305,0.09694966,0.0008573465,0.002015404],"study_design_scores_gemma":[0.00003020489,0.00002933469,0.0002623975,0.000006024547,0.00001408161,0.0000396297,0.00002773108,0.9867254,0.00005922664,0.01251057,0.0002834638,0.00001191491],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6142709,0.001678723,0.3412381,0.004890658,0.0002030413,0.0001241883,0.0006237202,0.0004106438,0.03656012],"genre_scores_gemma":[0.9719107,0.0006933939,0.009202773,0.0003644348,0.00007411406,0.0001718908,0.0001620878,0.00007710179,0.01734341],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0171152,"threshold_uncertainty_score":0.03403115,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W4281551947","doi":"10.1016/j.epidem.2022.100583","title":"Modeling waning and boosting of COVID-19 in Canada with vaccination","year":2022,"lang":"en","type":"article","venue":"Epidemics","topic":"COVID-19 epidemiological studies","field":"Mathematics","cited_by":42,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":true},"ca_institutions":"York University","funders":"Natural Sciences and Engineering Research Council of Canada; National Sleep Foundation; Hungarian Scientific Research Fund; Institute of Population and Public Health; James Merrill House; California State University, Northridge; Centers for Disease Control and Prevention; American Institute of Mathematics; National Science Foundation","keywords":"Vaccination; Herd immunity; Pandemic; Coronavirus disease 2019 (COVID-19); Medicine; Context (archaeology); Public health; Population; Environmental health; Social distance; Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2); Immunology; Virology; Infectious disease (medical specialty); Biology; Disease; Internal medicine","authors":[{"name":"Lauren M. Childs","is_ca":false},{"name":"David W. Dick","is_ca":true},{"name":"Zhilan Feng","is_ca":false},{"name":"Jane M. Heffernan","is_ca":true},{"name":"Jing Li","is_ca":false},{"name":"Gergely Röst","is_ca":false}],"retraction":null,"screen_n_in":null,"score":{"opus":0.2362257613705684,"gpt":0.3924270771782572,"spread":0.1562013158076888,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001587835,0.001138928,0.001142637,0.001335845,0.001613602,0.001942163,0.002586877,0.001946683,0.005405833],"category_scores_gemma":[0.005482612,0.0007270402,0.001323327,0.001704365,0.001519463,0.0007711525,0.001394164,0.001479548,0.0003701404],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.03559322,"about_ca_system_score_gemma":0.0331769,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9882161,"about_ca_topic_score_gemma":0.9734483,"domain_scores_codex":[0.9992167,0.0001642325,0.00002073955,0.0001177989,0.00007670777,0.0004038622],"domain_scores_gemma":[0.9974106,0.001016792,0.0003174247,0.00006325709,0.0007643375,0.0004276397],"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":[0.000285172,0.0001501811,0.04643136,0.00009127319,0.000124485,0.0002604752,0.0002787818,0.9265425,0.000441542,0.01618691,0.004045711,0.005161588],"study_design_scores_gemma":[0.0001675394,0.0001065384,0.01793201,0.00005688738,0.0001508671,0.00004066884,0.0004986188,0.9735372,0.0001566116,0.002977461,0.004319493,0.00005610903],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9378178,0.002591553,0.01318475,0.005873046,0.0001694475,0.0003277404,0.009994895,0.0002108147,0.02982991],"genre_scores_gemma":[0.9747532,0.001275577,0.004032302,0.0003459169,0.0000342039,0.0001232596,0.001870532,0.00003956492,0.01752551],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.03559322,"threshold_uncertainty_score":0.2582482,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2950349624","doi":"10.1016/j.epidem.2016.03.003","title":"A model for sea lice (Lepeophtheirus salmonis) dynamics in a seasonally changing environment","year":2016,"lang":"en","type":"article","venue":"Epidemics","topic":"Parasite Biology and Host Interactions","field":"Environmental Science","cited_by":41,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":true},"ca_institutions":"University of Prince Edward Island; Memorial University of Newfoundland","funders":"Research and Development Corporation of Newfoundland and Labrador; Memorial University of Newfoundland; Canada Research Chairs","keywords":"Lepeophtheirus; Biology; Salinity; Abundance (ecology); Reproduction; Fishery; Seasonality; Temperature salinity diagrams; Ecology; Fish <Actinopterygii>; Aquaculture","authors":[{"name":"Matthew A. Rittenhouse","is_ca":true},{"name":"Crawford W. Revie","is_ca":true},{"name":"Amy Hurford","is_ca":true}],"retraction":null,"screen_n_in":null,"score":{"opus":0.02984647461273294,"gpt":0.3136393662100275,"spread":0.2837928915972946,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000533418,0.0007429014,0.0007582671,0.0007386327,0.0005970986,0.001270875,0.001600103,0.001611154,0.006006425],"category_scores_gemma":[0.001564963,0.0004569125,0.0008707594,0.0007726671,0.0008633483,0.0008213483,0.0009241333,0.00103309,0.0006422872],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002098912,"about_ca_system_score_gemma":0.001749676,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.1498888,"about_ca_topic_score_gemma":0.08620424,"domain_scores_codex":[0.9997361,0.00006519952,0.00001167375,0.00006891882,0.00003222643,0.00008583975],"domain_scores_gemma":[0.9994414,0.0002606827,0.0001256468,0.00001904261,0.00008275653,0.0000703679],"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":[0.0000759636,0.00006665959,0.005635891,0.00003937235,0.00005247342,0.0002070576,0.00008017771,0.9807423,0.001277862,0.008697951,0.0009136462,0.002210548],"study_design_scores_gemma":[0.00004814157,0.00004365959,0.002302134,0.000006301378,0.00003156226,0.00004014354,0.00004422094,0.9945673,0.00007047588,0.002144522,0.0006874346,0.00001411813],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8018575,0.0006900926,0.1613355,0.002564108,0.0001452123,0.0001930803,0.005524006,0.0004689746,0.02722145],"genre_scores_gemma":[0.9597787,0.0004621586,0.007966654,0.0001571255,0.00005425237,0.0002302237,0.00108392,0.00004353148,0.03022356],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1498888,"threshold_uncertainty_score":0.2980327,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2276880565","doi":"10.1016/j.epidem.2016.01.001","title":"Design and methods of a social network isolation study for reducing respiratory infection transmission: The eX-FLU cluster randomized trial","year":2016,"lang":"en","type":"article","venue":"Epidemics","topic":"Antibiotic Use and Resistance","field":"Immunology and Microbiology","cited_by":41,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"University of Saskatchewan","funders":"Eunice Kennedy Shriver National Institute of Child Health and Human Development; Medical Research Council; Centers for Disease Control and Prevention; Pfizer","keywords":"Social isolation; Randomized controlled trial; Residence; Isolation (microbiology); Medicine; Intervention (counseling); Cluster randomised controlled trial; Cluster (spacecraft); Referral; Social network (sociolinguistics); Influenza-like illness; Transmission (telecommunications); Family medicine; Gerontology; Demography; Psychiatry; Internal medicine; Immunology; Biology; Social media","authors":[{"name":"Allison E. Aiello","is_ca":false},{"name":"Amanda M. Simanek","is_ca":false},{"name":"Marisa C. Eisenberg","is_ca":false},{"name":"Alison R. Walsh","is_ca":false},{"name":"Brian M. Davis","is_ca":false},{"name":"Erik Volz","is_ca":false},{"name":"Caroline Cheng","is_ca":false},{"name":"Jeanette J. Rainey","is_ca":false},{"name":"Amra Uzicanin","is_ca":false},{"name":"Hongjiang Gao","is_ca":false},{"name":"Nathaniel Osgood","is_ca":true},{"name":"Dylan Knowles","is_ca":true},{"name":"Kevin G. Stanley","is_ca":true},{"name":"Kara Tarter","is_ca":false},{"name":"Arnold S. Monto","is_ca":false}],"retraction":null,"screen_n_in":null,"score":{"opus":0.04126826142599535,"gpt":0.3502852655111624,"spread":0.3090170040851671,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.03465589,0.005209467,0.007009531,0.001692682,0.001891446,0.002142956,0.00284096,0.005733739,0.02175788],"category_scores_gemma":[0.02989455,0.002279013,0.004338621,0.001349053,0.00270277,0.002631196,0.002424957,0.004310861,0.002831261],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002396,"about_ca_system_score_gemma":0.006641538,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002581951,"about_ca_topic_score_gemma":0.002330302,"domain_scores_codex":[0.9656272,0.02589778,0.001897805,0.002660401,0.001475737,0.002441076],"domain_scores_gemma":[0.987257,0.006211163,0.001884395,0.001940192,0.001644907,0.00106239],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"randomized_trial","study_design_gemma":"randomized_trial","study_design_scores_codex":[0.9506059,0.01942371,0.001881126,0.002542096,0.003182048,0.00008110625,0.0002598114,0.001717075,0.0007327091,0.001782553,0.002254439,0.01553732],"study_design_scores_gemma":[0.9330518,0.05567091,0.001709948,0.0002456866,0.001468942,0.00002328324,0.00009992232,0.003006392,0.0004343101,0.001728463,0.002517605,0.00004261653],"study_design_candidate":"randomized_trial","study_design_consensus":"randomized_trial","genre_codex":"protocol","genre_gemma":"empirical","genre_scores_codex":[0.1036261,0.001053415,0.01873554,0.0009586233,0.002138526,0.8682087,0.001982545,0.0003933319,0.002903205],"genre_scores_gemma":[0.07840068,0.0001818004,0.01947392,0.0006309115,0.000212256,0.8996215,0.0002660474,0.00002367511,0.001189203],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.03465589,"threshold_uncertainty_score":0.1832801,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2049521141","doi":"10.1016/j.epidem.2011.02.004","title":"Declining HIV prevalence and incidence in perinatal women in Harare, Zimbabwe","year":2011,"lang":"en","type":"article","venue":"Epidemics","topic":"HIV/AIDS Research and Interventions","field":"Medicine","cited_by":38,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false},"ca_institutions":"","funders":"Department of Science and Technology, Ministry of Science and Technology, India; Canadian International Development Agency","keywords":"Incidence (geometry); Demography; Medicine; Epidemiology; Prevalence; Human immunodeficiency virus (HIV); Logistic regression; Transmission (telecommunications); Immunology; Internal medicine","authors":[{"name":"John W. Hargrove","is_ca":false},{"name":"Jean H. Humphrey","is_ca":false},{"name":"Agnes Mahomva","is_ca":false},{"name":"Brian Williams","is_ca":false},{"name":"Henry Chidawanyika","is_ca":false},{"name":"Kuda Mutasa","is_ca":false},{"name":"Edmore Marinda","is_ca":false},{"name":"Michael T. Mbizvo","is_ca":false},{"name":"Kusum Nathoo","is_ca":false},{"name":"Peter Iliff","is_ca":false},{"name":"Owen Mugurungi","is_ca":false}],"retraction":null,"screen_n_in":null,"score":{"opus":0.06122654524271188,"gpt":0.3533163161172655,"spread":0.2920897708745536,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0007965811,0.0002450929,0.0002264942,0.00114501,0.0005352701,0.0008504567,0.0005576847,0.0003389796,0.001610479],"category_scores_gemma":[0.003589904,0.0002287391,0.0002827947,0.001948401,0.0005701121,0.0006424639,0.0008131728,0.0006232686,0.0001119172],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001487964,"about_ca_system_score_gemma":0.0008978252,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.1288211,"about_ca_topic_score_gemma":0.1257396,"domain_scores_codex":[0.9995148,0.0001245982,0.00003280385,0.00009040538,0.00006177818,0.0001756972],"domain_scores_gemma":[0.9993702,0.0001021704,0.0003140594,0.00003297503,0.00009775657,0.00008286221],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00004267853,0.000007072387,0.9916198,0.00006680359,0.00005903054,0.0001428735,0.0009185745,0.0001041823,0.0003763055,0.0001383412,0.0002563233,0.006267937],"study_design_scores_gemma":[0.000002784017,0.0000176954,0.9986722,0.00004652138,0.00002220782,0.00009712046,0.0005683653,0.000126266,0.0000431537,0.0000485552,0.0003524446,0.000002832893],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9946508,0.002626024,0.00034085,0.0006400452,0.00001000685,0.00002931726,0.0008786864,0.000007961694,0.0008163535],"genre_scores_gemma":[0.9983225,0.0009558204,0.000190579,0.00008870537,0.000005856095,0.00001690163,0.0002884004,0.000001392017,0.0001297775],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1288211,"threshold_uncertainty_score":0.2561425,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W3133261263","doi":"10.1016/j.epidem.2021.100444","title":"Mathematical modelling of respiratory syncytial virus (RSV) in low- and middle-income countries: A systematic review","year":2021,"lang":"en","type":"review","venue":"Epidemics","topic":"Respiratory viral infections research","field":"Medicine","cited_by":33,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"University of British Columbia","funders":"National Institute of Allergy and Infectious Diseases","keywords":"Population; Medicine; Psychological intervention; Immunization; Systematic review; Immunology; Intensive care medicine; MEDLINE; Environmental health; Biology; Antibody","authors":[{"name":"Alex Mezei","is_ca":true},{"name":"Jamie A. Cohen","is_ca":false},{"name":"Matthew J Renwick","is_ca":true},{"name":"Jessica E. Atwell","is_ca":false},{"name":"Allison Portnoy","is_ca":false}],"retraction":null,"screen_n_in":null,"score":{"opus":0.1995272373907046,"gpt":0.4311329604569152,"spread":0.2316057230662107,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.007864013,0.00218792,0.005772803,0.008286252,0.0004180316,0.003201178,0.003102449,0.002050819,0.005082435],"category_scores_gemma":[0.03232885,0.001065782,0.0102282,0.007687076,0.0006210592,0.002648579,0.001051352,0.001284425,0.0005769575],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003749692,"about_ca_system_score_gemma":0.01211529,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01166539,"about_ca_topic_score_gemma":0.016569,"domain_scores_codex":[0.9946585,0.00247088,0.001567236,0.0002980825,0.0008814399,0.0001237309],"domain_scores_gemma":[0.9686022,0.02654206,0.002901827,0.0003572686,0.001471597,0.0001251021],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"systematic_review","study_design_gemma":"systematic_review","study_design_scores_codex":[0.0001701763,0.00005082911,0.0009254622,0.862002,0.0077654,0.0002394372,0.0001823443,0.005105489,0.000154503,0.002631351,0.003070252,0.1177028],"study_design_scores_gemma":[0.0002064649,0.0004787045,0.003433409,0.8495906,0.04876341,0.001006137,0.0004042256,0.004992339,0.0004291448,0.004361397,0.08619838,0.000135742],"study_design_candidate":"systematic_review","study_design_consensus":"systematic_review","genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.000680525,0.9971955,0.0008930051,0.0003329673,0.00006921474,0.0001450897,0.0002732011,0.00001467924,0.0003958284],"genre_scores_gemma":[0.008710774,0.9891276,0.001561789,0.0001448849,0.00004916835,0.00017444,0.0001482004,0.000007004161,0.00007624005],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.01166539,"threshold_uncertainty_score":0.04158938,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2090739731","doi":"10.1016/j.epidem.2011.02.002","title":"Genetic Tracking of the Raccoon Variant of Rabies Virus in Eastern North America","year":2011,"lang":"en","type":"article","venue":"Epidemics","topic":"Rabies epidemiology and control","field":"Immunology and Microbiology","cited_by":32,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":true},"ca_institutions":"Ministry of Natural Resources and Forestry; Canadian Food Inspection Agency; Trent University","funders":"Natural Sciences and Engineering Research Council of Canada; Canadian Food Inspection Agency","keywords":"Rabies; Lineage (genetic); Geography; Rabies virus; Biology; Range (aeronautics); Population; Lyssavirus; Phylogeography; Phylogenetic tree; Zoology; Virology; Rhabdoviridae; Genetics; Demography; Gene","authors":[{"name":"Annamária Szántó","is_ca":true},{"name":"Susan A. Nadin‐Davis","is_ca":true},{"name":"Richard C. Rosatte","is_ca":true},{"name":"Bradley N. White","is_ca":true}],"retraction":null,"screen_n_in":null,"score":{"opus":0.03510111492444425,"gpt":0.236206656080456,"spread":0.2011055411560117,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002964205,0.0002071698,0.000188555,0.001404293,0.001117569,0.0006610737,0.0003601551,0.0002129176,0.0003834436],"category_scores_gemma":[0.0006210154,0.0001237768,0.0001100411,0.00197072,0.0005207249,0.0001711009,0.000304708,0.0003079497,0.0000592396],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.005209296,"about_ca_system_score_gemma":0.004012313,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.8497285,"about_ca_topic_score_gemma":0.9439695,"domain_scores_codex":[0.9996382,0.00002609005,0.00001108818,0.0001000888,0.0001186983,0.0001058472],"domain_scores_gemma":[0.9992379,0.00005564693,0.0001585477,0.00003458421,0.0003944781,0.0001188273],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0002112505,0.00005219108,0.9468302,0.0000565406,0.00004897972,0.0003185477,0.002694,0.0004324709,0.03435559,0.0002482215,0.0003277902,0.01442415],"study_design_scores_gemma":[0.000001786384,0.00001897051,0.9982719,0.000005799688,0.000006821305,0.000078739,0.0004746912,0.0001434178,0.0004177211,0.00001053304,0.0005657402,0.000003870542],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9987407,0.0001139113,0.00008511251,0.00001890347,0.000001027325,0.00002145471,0.0002903263,0.000003062789,0.0007255049],"genre_scores_gemma":[0.9985526,0.0001887091,0.0003771194,0.00001975796,0.000001299119,0.0000106437,0.000546705,0.000001987183,0.0003011559],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.8497285,"threshold_uncertainty_score":0.302313,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2050246266","doi":"10.1016/j.epidem.2012.12.001","title":"Linking antimicrobial prescribing to antimicrobial resistance in the ICU: Before and after an antimicrobial stewardship program","year":2012,"lang":"en","type":"article","venue":"Epidemics","topic":"Antibiotic Use and Resistance","field":"Immunology and Microbiology","cited_by":31,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true},"ca_institutions":"Mount Sinai Hospital; Fields Institute for Research in Mathematical Sciences; Public Health Ontario; York University; University of Toronto","funders":"","keywords":"Antimicrobial stewardship; Antimicrobial; Pseudomonas aeruginosa; Context (archaeology); Medicine; Antibiotic resistance; Antibiotics; Intensive care medicine; Internal medicine; Microbiology; Biology; Bacteria","authors":[{"name":"Amy Hurford","is_ca":true},{"name":"Andrew M. Morris","is_ca":true},{"name":"David N. Fisman","is_ca":true}],"retraction":null,"screen_n_in":null,"score":{"opus":0.01855491783104593,"gpt":0.2716503566888951,"spread":0.2530954388578491,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.008844684,0.0005072332,0.00110751,0.0008503177,0.0007231223,0.002294555,0.00143717,0.002255382,0.003124609],"category_scores_gemma":[0.04653849,0.000466721,0.001441675,0.001357749,0.0009166336,0.001740615,0.001720417,0.002147564,0.0002060646],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.004461597,"about_ca_system_score_gemma":0.007428042,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.04940878,"about_ca_topic_score_gemma":0.03637656,"domain_scores_codex":[0.992269,0.00451121,0.0003672031,0.0006685042,0.0006283419,0.001555882],"domain_scores_gemma":[0.9643303,0.02605168,0.005785487,0.0007743184,0.001504063,0.001554192],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.001616579,0.004392708,0.7880866,0.0002447067,0.0007002114,0.001408515,0.0009036572,0.1318519,0.001547416,0.01849722,0.001468012,0.04928242],"study_design_scores_gemma":[0.0002106636,0.003557706,0.5583825,0.0001681127,0.0008283502,0.00022898,0.003543124,0.4159935,0.001833575,0.01292695,0.002223442,0.0001029907],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.980472,0.0004277047,0.009022948,0.004420456,0.00006971336,0.0001773094,0.0002426978,0.0000647487,0.005102482],"genre_scores_gemma":[0.9959133,0.0001749218,0.002355463,0.0002966128,0.00004222036,0.00004712857,0.0001002905,0.000007457462,0.001062467],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.04940878,"threshold_uncertainty_score":0.0982424,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2593332648","doi":"10.1016/j.epidem.2017.03.002","title":"On the duration of the period between exposure to HIV and detectable infection","year":2017,"lang":"en","type":"article","venue":"Epidemics","topic":"HIV Research and Treatment","field":"Immunology and Microbiology","cited_by":30,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":false},"ca_institutions":"BC Centre for Disease Control; University of British Columbia","funders":"Canadian Institutes of Health Research","keywords":"Human immunodeficiency virus (HIV); Viral load; Immunology; Reliability (semiconductor); Medicine; Period (music); Virology; Biology","authors":[{"name":"B Konrád","is_ca":true},{"name":"Darlene Taylor","is_ca":true},{"name":"Jessica M. Conway","is_ca":false},{"name":"Gina Ogilvie","is_ca":true},{"name":"Daniel Coombs","is_ca":true}],"retraction":null,"screen_n_in":null,"score":{"opus":0.02747067038365373,"gpt":0.2856668980860755,"spread":0.2581962277024218,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.01101903,0.0005764636,0.0006905089,0.001320314,0.0003347199,0.001227717,0.0009149535,0.001362994,0.002276058],"category_scores_gemma":[0.06327146,0.000479603,0.001045812,0.001173754,0.001250922,0.001170721,0.0009640249,0.0009297579,0.0005036401],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006872693,"about_ca_system_score_gemma":0.0007218042,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.006356525,"about_ca_topic_score_gemma":0.0043651,"domain_scores_codex":[0.9974251,0.00131588,0.0001949529,0.0004849434,0.000320954,0.0002581839],"domain_scores_gemma":[0.8971955,0.08970212,0.007064916,0.003844609,0.001435668,0.0007572197],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.001674953,0.0001339538,0.6810219,0.0001961007,0.0006093021,0.0003396819,0.0006357245,0.2726461,0.003321681,0.003188642,0.000736529,0.03549542],"study_design_scores_gemma":[0.00004941246,0.0005519831,0.6179729,0.0001579042,0.0002606503,0.001092261,0.0005819571,0.3692,0.002739334,0.005260576,0.002031447,0.000101577],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9570413,0.001061937,0.03773301,0.0003522561,0.0000449843,0.0000546809,0.001018424,0.0001637026,0.00252973],"genre_scores_gemma":[0.9964786,0.0002769366,0.002154337,0.00003131488,0.00002473281,0.00002038068,0.0006590493,0.00002194512,0.0003326784],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01101903,"threshold_uncertainty_score":0.05827492,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2072159916","doi":"10.1016/j.epidem.2012.06.002","title":"The impact of personal experiences with infection and vaccination on behaviour–incidence dynamics of seasonal influenza","year":2012,"lang":"en","type":"article","venue":"Epidemics","topic":"Influenza Virus Research Studies","field":"Medicine","cited_by":30,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"University of Guelph","funders":"","keywords":"Incidence (geometry); Vaccination; Seasonal influenza; Medicine; Dynamics (music); Coronavirus disease 2019 (COVID-19); Demography; Biology; Immunology; Psychology; Disease; Internal medicine; Infectious disease (medical specialty)","authors":[{"name":"Chad R. Wells","is_ca":true},{"name":"Chris T. Bauch","is_ca":true}],"retraction":null,"screen_n_in":null,"score":{"opus":0.06347050823973799,"gpt":0.4184626291282181,"spread":0.3549921208884801,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001172251,0.0003298972,0.0002797537,0.0003279415,0.0003087773,0.001221443,0.0005164113,0.0006807522,0.002375945],"category_scores_gemma":[0.009128466,0.000304994,0.0004769235,0.0002930824,0.0006947333,0.001023495,0.001111435,0.000655907,0.0001632631],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006912532,"about_ca_system_score_gemma":0.000322505,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005892462,"about_ca_topic_score_gemma":0.005441656,"domain_scores_codex":[0.9994652,0.0002828444,0.00002521153,0.00009482419,0.00004345055,0.00008839733],"domain_scores_gemma":[0.9945056,0.00351013,0.0009498034,0.0003423358,0.0001528496,0.0005392248],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0007900581,0.000867283,0.5160944,0.0002245079,0.0005645084,0.001252957,0.003786433,0.4244823,0.008351046,0.01375239,0.0005655953,0.0292686],"study_design_scores_gemma":[0.00003404952,0.0007039918,0.4021399,0.00004476997,0.0001937684,0.0003550408,0.001143109,0.5838683,0.001186647,0.009287974,0.0009176409,0.0001248821],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9942983,0.00009018571,0.004022979,0.0001263369,0.000008820522,0.0000118077,0.00007667997,0.0000100166,0.001354853],"genre_scores_gemma":[0.9991915,0.0000373426,0.0003863588,0.000007537815,0.000003229914,0.000005173939,0.00002174057,0.00000205925,0.0003450505],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.005892462,"threshold_uncertainty_score":0.01171631,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2953130449","doi":"10.1016/j.epidem.2019.01.004","title":"Managing Marek’s disease in the egg industry","year":2019,"lang":"en","type":"article","venue":"Epidemics","topic":"Herpesvirus Infections and Treatments","field":"Medicine","cited_by":28,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":false},"ca_institutions":"Queen's University","funders":"Egg Farmers of Canada","keywords":"Marek's disease; Biology; Context (archaeology); Disease; Virulence; Transmission (telecommunications); Cohort; Livestock; Industrialisation; Virology; Medicine; Virus; Genetics; Ecology; Economics; Engineering; Telecommunications","authors":[{"name":"Carly Rozins","is_ca":true},{"name":"Troy Day","is_ca":true},{"name":"Scott Greenhalgh","is_ca":true}],"retraction":null,"screen_n_in":null,"score":{"opus":0.02536552344563562,"gpt":0.3148154983693203,"spread":0.2894499749236847,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000861854,0.0003190582,0.0002601083,0.0002462021,0.0003341967,0.001378978,0.0005641441,0.0005956909,0.001009847],"category_scores_gemma":[0.001377918,0.0001524691,0.0002884122,0.0001965346,0.0002844065,0.001115756,0.0006046449,0.0003956393,0.0002376203],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007735106,"about_ca_system_score_gemma":0.0009183866,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005831697,"about_ca_topic_score_gemma":0.009489795,"domain_scores_codex":[0.9997763,0.00008020841,0.000007381514,0.00002853217,0.00004725167,0.00006038113],"domain_scores_gemma":[0.9995402,0.0001590866,0.0001396013,0.00002913027,0.00007423334,0.00005766156],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0005199379,0.0006014085,0.2026012,0.0004869137,0.0003474835,0.001932441,0.0003329227,0.5505444,0.08429962,0.003488721,0.002937001,0.1519081],"study_design_scores_gemma":[0.0001175357,0.004268273,0.2226798,0.0004084994,0.0003029575,0.001663125,0.004610496,0.6895359,0.04400711,0.01150978,0.02071027,0.000186264],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"review","genre_scores_codex":[0.9775453,0.001528724,0.01553832,0.0009333335,0.00003376482,0.00005935967,0.00009338312,0.00006453148,0.004203303],"genre_scores_gemma":[0.9925288,0.001017447,0.005413361,0.00007698202,0.000008498599,0.000009709297,0.00006722346,0.000008893868,0.0008690958],"genre_candidate":"review","genre_consensus":null,"teacher_disagreement_score":0.005831697,"threshold_uncertainty_score":0.01159549,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2885454236","doi":"10.1016/j.epidem.2018.08.001","title":"A partly stage-structured model for the abundance of salmon lice in salmonid farms","year":2018,"lang":"en","type":"article","venue":"Epidemics","topic":"Parasite Biology and Host Interactions","field":"Environmental Science","cited_by":28,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"University of Prince Edward Island","funders":"Norges Forskningsråd","keywords":"Louse; Biology; Lepeophtheirus; Abundance (ecology); Norwegian; Ecology; Parasite hosting; Fishery; Aquaculture; Fish <Actinopterygii>","authors":[{"name":"Magne Aldrin","is_ca":false},{"name":"Peder A. Jansen","is_ca":false},{"name":"Henrik Stryhn","is_ca":true}],"retraction":null,"screen_n_in":null,"score":{"opus":0.04000372932746736,"gpt":0.367217540085102,"spread":0.3272138107576347,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001861445,0.000852057,0.001345728,0.0007502474,0.0005412321,0.001754736,0.002952436,0.002310731,0.007087413],"category_scores_gemma":[0.003589493,0.001288144,0.001668724,0.000893332,0.001353531,0.001610471,0.001363325,0.001485601,0.001177144],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001632122,"about_ca_system_score_gemma":0.001573938,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.04486835,"about_ca_topic_score_gemma":0.03170903,"domain_scores_codex":[0.9991763,0.000281452,0.00004363953,0.0002611828,0.00006153779,0.000175863],"domain_scores_gemma":[0.9977064,0.001300622,0.0004352174,0.00009058767,0.0002433979,0.0002237792],"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":[0.0001412197,0.00004695094,0.01070869,0.00006435047,0.00009220468,0.0002490429,0.0001452976,0.9728974,0.001024955,0.01153348,0.0009301679,0.002166272],"study_design_scores_gemma":[0.00006783581,0.00006833168,0.003636376,0.00001365783,0.00003464113,0.00004651996,0.00005137577,0.9913599,0.00005684247,0.004204855,0.0004328343,0.00002693345],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7739311,0.0009628659,0.2050531,0.002094351,0.0001292751,0.0002182393,0.006228643,0.0004367082,0.0109457],"genre_scores_gemma":[0.9626742,0.0004475832,0.00794541,0.0001738174,0.00005949824,0.0003924159,0.002133318,0.00008463852,0.02608909],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.04486835,"threshold_uncertainty_score":0.08921438,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W4226064848","doi":"10.1016/j.epidem.2022.100559","title":"Mathematical modeling of COVID-19 in British Columbia: An age-structured model with time-dependent contact rates","year":2022,"lang":"en","type":"article","venue":"Epidemics","topic":"COVID-19 epidemiological studies","field":"Mathematics","cited_by":26,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":true},"ca_institutions":"Simon Fraser University; BC Centre for Disease Control; University of British Columbia","funders":"Michael Smith Health Research BC","keywords":"Population; Mixing (physics); Coronavirus disease 2019 (COVID-19); Mixing patterns; Transmission (telecommunications); Demography; Econometrics; Computer science; Statistics; Mathematics; Medicine; Disease; Infectious disease (medical specialty); Physics","authors":[{"name":"Sarafa A. Iyaniwura","is_ca":true},{"name":"Rebeca Cardim Falcão","is_ca":true},{"name":"Notice Ringa","is_ca":true},{"name":"Prince Adu","is_ca":true},{"name":"Michelle Spencer","is_ca":true},{"name":"Marsha Taylor","is_ca":true},{"name":"Caroline Colijn","is_ca":true},{"name":"Daniel Coombs","is_ca":true},{"name":"Naveed Z. Janjua","is_ca":true},{"name":"Michael A. Irvine","is_ca":true},{"name":"Michael Otterstatter","is_ca":true}],"retraction":null,"screen_n_in":null,"score":{"opus":0.1697638728012105,"gpt":0.386789527763201,"spread":0.2170256549619905,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001564762,0.001063613,0.001383135,0.001793233,0.00142361,0.002478927,0.004335712,0.002883343,0.006849125],"category_scores_gemma":[0.00569525,0.0009445209,0.001293683,0.001791425,0.001623492,0.001461759,0.001765932,0.002025709,0.001137485],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.008743995,"about_ca_system_score_gemma":0.006851554,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.6450752,"about_ca_topic_score_gemma":0.4474708,"domain_scores_codex":[0.9990723,0.0002632059,0.00004241616,0.0002212475,0.0001340565,0.0002667134],"domain_scores_gemma":[0.9975715,0.0009974967,0.0004488688,0.00008625722,0.0006048761,0.0002910024],"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":[0.00009245936,0.0001001035,0.01475364,0.0001152183,0.00009232798,0.0009147225,0.0006016397,0.8925367,0.000876205,0.07587185,0.006611669,0.007433401],"study_design_scores_gemma":[0.00002968796,0.00001616329,0.002655249,0.00003112147,0.00004358216,0.0001053008,0.0001561001,0.9859241,0.0000543376,0.008358544,0.002589809,0.00003603787],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6049407,0.004384301,0.2819462,0.01284007,0.0003703057,0.000590706,0.01363264,0.0006706185,0.08062452],"genre_scores_gemma":[0.9236987,0.001730729,0.01795042,0.0006612957,0.0001127182,0.00039416,0.002414258,0.0001209068,0.05291683],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3549248,"threshold_uncertainty_score":0.71403,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W3023200427","doi":"10.1016/j.epidem.2020.100394","title":"Estimating sea lice infestation pressure on salmon farms: Comparing different methods using multivariate state-space models","year":2020,"lang":"en","type":"article","venue":"Epidemics","topic":"Parasite Biology and Host Interactions","field":"Environmental Science","cited_by":24,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":true},"ca_institutions":"University of Prince Edward Island","funders":"Canada First Research Excellence Fund; Ocean Frontier Institute; Agri-Futures Nova Scotia Association","keywords":"Infestation; Bay; Multivariate statistics; Biology; Fishery; Ecology; Environmental science; Statistics; Mathematics; Geography; Agronomy","authors":[{"name":"Adel Elghafghuf","is_ca":true},{"name":"Raphaël Vanderstichel","is_ca":true},{"name":"K. Larry Hammell","is_ca":true},{"name":"Henrik Stryhn","is_ca":true}],"retraction":null,"screen_n_in":null,"score":{"opus":0.128591516985699,"gpt":0.4294886928257656,"spread":0.3008971758400665,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.005901961,0.001611815,0.001129244,0.002875071,0.0003976687,0.001460713,0.001209925,0.0005989744,0.0007326957],"category_scores_gemma":[0.00981457,0.0005502515,0.003088941,0.001843544,0.000390432,0.00161167,0.00106628,0.00126818,0.0001897654],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001461379,"about_ca_system_score_gemma":0.001517415,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.07994714,"about_ca_topic_score_gemma":0.05478038,"domain_scores_codex":[0.998218,0.001001517,0.0001597455,0.0003492362,0.0001712782,0.000100327],"domain_scores_gemma":[0.9899379,0.008485923,0.0006773263,0.0002262496,0.0005384835,0.0001340624],"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":[0.0004570233,0.0002852523,0.2288078,0.0004526069,0.002759757,0.000100823,0.0003165493,0.6467712,0.0009312433,0.001237118,0.0007795539,0.1171012],"study_design_scores_gemma":[0.00001835396,0.0001427308,0.03353928,0.00006746423,0.0002393127,0.00003289443,0.0001223066,0.9641346,0.0003482165,0.0009286322,0.000374913,0.0000512707],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8119249,0.006643164,0.1774631,0.0005626836,0.00006835345,0.0001245546,0.001184328,0.0007422942,0.001286655],"genre_scores_gemma":[0.9395627,0.003432028,0.05352633,0.00007946869,0.00006209312,0.0001140657,0.002423448,0.0001161866,0.0006836532],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.07994714,"threshold_uncertainty_score":0.1589636,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2087328304","doi":"10.1016/j.epidem.2015.04.001","title":"Modeling the effect of HIV coinfection on clearance and sustained virologic response during treatment for hepatitis C virus","year":2015,"lang":"en","type":"article","venue":"Epidemics","topic":"Hepatitis C virus research","field":"Medicine","cited_by":23,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"McMaster University","funders":"Science and Technology Directorate; Fogarty International Center; Schweizerischer Nationalfonds zur Förderung der Wissenschaftlichen Forschung; Princeton University; Bill and Melinda Gates Foundation; U.S. Department of Homeland Security; National Institutes of Health; National Science Foundation","keywords":"Coinfection; Viral load; Hepatitis C virus; Immunology; Medicine; Immune system; Hepatitis C; Virology; Hepacivirus; Human immunodeficiency virus (HIV); Internal medicine; Virus","authors":[{"name":"Ruthie Birger","is_ca":false},{"name":"Roger D. Kouyos","is_ca":false},{"name":"Jonathan Dushoff","is_ca":true},{"name":"Bryan T. Grenfell","is_ca":false}],"retraction":null,"screen_n_in":null,"score":{"opus":0.05918866249134571,"gpt":0.3601740037042495,"spread":0.3009853412129038,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001423649,0.0008426555,0.0007258076,0.0004187759,0.0003456581,0.0009386198,0.001059468,0.001624433,0.002435749],"category_scores_gemma":[0.00638682,0.0005363876,0.0009743018,0.000358746,0.0006880036,0.0007621141,0.0007911756,0.001057061,0.0002248443],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001961298,"about_ca_system_score_gemma":0.002007524,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02399512,"about_ca_topic_score_gemma":0.01183394,"domain_scores_codex":[0.9994302,0.0002761084,0.00002252866,0.00008136396,0.00005289503,0.0001368781],"domain_scores_gemma":[0.9954665,0.003556243,0.000550756,0.00006185548,0.0002212236,0.0001434212],"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":[0.0000501994,0.00003162228,0.00214826,0.00002058374,0.00002091164,0.00005699789,0.00002290128,0.9949764,0.0002614986,0.001344657,0.0001193063,0.0009467028],"study_design_scores_gemma":[0.00001512008,0.00003826127,0.0003617992,0.00000392737,0.00001280759,0.00001328083,0.00001126777,0.9986188,0.00007816809,0.0007300976,0.0001124709,0.000003921842],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8041227,0.001305049,0.1801286,0.002825162,0.0001277416,0.0002496331,0.0009521419,0.0002470104,0.01004201],"genre_scores_gemma":[0.9862831,0.0002937902,0.008223506,0.0001595705,0.00002482661,0.0001673251,0.0002272041,0.00002740654,0.004593269],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02399512,"threshold_uncertainty_score":0.04771096,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W3194877628","doi":"10.1016/j.epidem.2021.100491","title":"Zika virus outbreak in Brazil under current and future climate","year":2021,"lang":"en","type":"article","venue":"Epidemics","topic":"Mosquito-borne diseases and control","field":"Medicine","cited_by":21,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":false},"ca_institutions":"University of Guelph; Université du Québec à Montréal; Public Health Agency of Canada","funders":"Public Health Agency of Canada","keywords":"Outbreak; Zika virus; Climate change; Representative Concentration Pathways; Downscaling; Aedes aegypti; Aedes; Geography; Climate model; Population; Climatology; Aedes albopictus; Radiative forcing; Environmental science; Biology; Demography; Ecology; Virology; Virus; Dengue fever","authors":[{"name":"Tara Sadeghieh","is_ca":true},{"name":"Jan M. Sargeant","is_ca":true},{"name":"Amy L. Greer","is_ca":true},{"name":"Olaf Berke","is_ca":true},{"name":"Guillaume Dueymes","is_ca":true},{"name":"Philippe Gachon","is_ca":true},{"name":"Nicholas H. Ogden","is_ca":true},{"name":"Victoria Ng","is_ca":true}],"retraction":null,"screen_n_in":null,"score":{"opus":0.015957446688074,"gpt":0.3201826780528723,"spread":0.3042252313647983,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0007119075,0.0004017662,0.0003118261,0.0002379835,0.0003809437,0.0007503086,0.0004879678,0.0005305454,0.0006483748],"category_scores_gemma":[0.001642503,0.0002268322,0.0007508784,0.0003211891,0.0002823429,0.0007239525,0.0005563627,0.0004193004,0.00006054109],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003146356,"about_ca_system_score_gemma":0.001605996,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.1604171,"about_ca_topic_score_gemma":0.1217916,"domain_scores_codex":[0.9997457,0.00008772434,0.00001811451,0.00006043488,0.00003453019,0.00005354667],"domain_scores_gemma":[0.999706,0.000106863,0.0000605296,0.00002490288,0.00007573211,0.00002596498],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.000430433,0.000191941,0.5019417,0.00049952,0.0005552883,0.00253628,0.001059705,0.4581112,0.01071849,0.005627745,0.003343107,0.01498456],"study_design_scores_gemma":[0.000248922,0.0003944385,0.2829858,0.00023129,0.0004288369,0.0007290288,0.002275554,0.6968425,0.003891201,0.00400341,0.007833913,0.0001351086],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9929935,0.0004993015,0.001576469,0.0006361327,0.00002004875,0.00005663963,0.001094557,0.00008444174,0.003038948],"genre_scores_gemma":[0.9983749,0.0002393513,0.00072294,0.00004079682,0.000003990579,0.00001784169,0.0004595794,0.000005681533,0.000134687],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1604171,"threshold_uncertainty_score":0.3189667,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2527072882","doi":"10.1016/j.epidem.2016.09.001","title":"The IDEA model: A single equation approach to the Ebola forecasting challenge","year":2016,"lang":"en","type":"article","venue":"Epidemics","topic":"Viral Infections and Outbreaks Research","field":"Medicine","cited_by":20,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":false},"ca_institutions":"Public Health Ontario; University of Toronto","funders":"Canadian Institutes of Health Research; Public Health Agency","keywords":"Computer science; Poisson distribution; Confidence interval; Econometrics; Operations research; Statistics; Mathematics","authors":[{"name":"Ashleigh R. Tuite","is_ca":false},{"name":"David N. Fisman","is_ca":true}],"retraction":null,"screen_n_in":null,"score":{"opus":0.2242627209402516,"gpt":0.3456585900080102,"spread":0.1213958690677586,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002643022,0.0008920191,0.0009507418,0.001028957,0.0005683231,0.001702729,0.002745047,0.002130663,0.003693759],"category_scores_gemma":[0.01134149,0.0005475487,0.001571431,0.0009524625,0.0004876718,0.001799674,0.00171016,0.002219368,0.000710515],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001290704,"about_ca_system_score_gemma":0.002631217,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0200015,"about_ca_topic_score_gemma":0.01110322,"domain_scores_codex":[0.9989794,0.0005561215,0.00005269826,0.0001885657,0.0001515405,0.00007155618],"domain_scores_gemma":[0.9956857,0.003121279,0.0003352588,0.0001488702,0.0005630972,0.0001457782],"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":[0.0001143399,0.0001144883,0.007340206,0.0001662858,0.0001494706,0.000258415,0.0003009395,0.8796593,0.0009214507,0.08165591,0.005897239,0.02342189],"study_design_scores_gemma":[0.00003552394,0.00005572058,0.0006068802,0.00001911129,0.00002689388,0.00003673207,0.00004974576,0.975133,0.0001328573,0.02127913,0.00259472,0.00002959323],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.122134,0.0007224549,0.8480598,0.006792833,0.0004210065,0.0004452036,0.00312327,0.0007031027,0.01759837],"genre_scores_gemma":[0.6815055,0.00111926,0.2999418,0.001395735,0.0005621433,0.001249106,0.002825458,0.0001994297,0.0112016],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.0200015,"threshold_uncertainty_score":0.03977019,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2590418524","doi":"10.1016/j.epidem.2017.02.011","title":"Two approaches to forecast Ebola synthetic epidemics","year":2017,"lang":"en","type":"article","venue":"Epidemics","topic":"Viral Infections and Outbreaks Research","field":"Medicine","cited_by":18,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"York University; McMaster University","funders":"","keywords":"Context (archaeology); Population; Econometrics; Stochastic modelling; Computer science; Operations research; Geography; Statistics; Medicine; Mathematics; Environmental health","authors":[{"name":"David Champredon","is_ca":true},{"name":"Michael Li","is_ca":true},{"name":"Benjamin M. Bolker","is_ca":true},{"name":"Jonathan Dushoff","is_ca":true}],"retraction":null,"screen_n_in":null,"score":{"opus":0.3848994457344384,"gpt":0.4073498719670945,"spread":0.02245042623265614,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002805974,0.000732502,0.0006891323,0.001182606,0.0004586938,0.001560327,0.0018321,0.001353228,0.001618686],"category_scores_gemma":[0.01298034,0.0005471027,0.001016684,0.0009682042,0.0004957492,0.001786387,0.001315672,0.001335063,0.0002999505],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001260484,"about_ca_system_score_gemma":0.001457526,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01239544,"about_ca_topic_score_gemma":0.007416281,"domain_scores_codex":[0.9987811,0.0005336755,0.0001078666,0.0002268861,0.0002567378,0.00009366604],"domain_scores_gemma":[0.9960572,0.001986078,0.0004502759,0.0005016357,0.0008469638,0.0001579382],"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":[0.00009762933,0.00006996104,0.003636727,0.0000645629,0.00009463273,0.00006143339,0.0001823608,0.9405628,0.001745866,0.02095815,0.0009471526,0.03157872],"study_design_scores_gemma":[0.00001366926,0.00003207105,0.0005302218,0.000008732039,0.00001103712,0.00002831415,0.00002780615,0.9899102,0.0006355272,0.007571873,0.001209054,0.00002145503],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.04897455,0.0001904642,0.9459771,0.001151529,0.0001459238,0.0001142266,0.0005554282,0.0004749063,0.002415851],"genre_scores_gemma":[0.5684801,0.0003259011,0.4261405,0.0003271839,0.0001333542,0.0003179229,0.001128473,0.0001482872,0.002998229],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.01239544,"threshold_uncertainty_score":0.02464658,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W3138410428","doi":"10.1016/j.epidem.2021.100453","title":"How much leeway is there to relax COVID-19 control measures?","year":2021,"lang":"en","type":"article","venue":"Epidemics","topic":"COVID-19 epidemiological studies","field":"Mathematics","cited_by":18,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":false},"ca_institutions":"University of British Columbia; University of Victoria; Simon Fraser University; BC Centre for Disease Control; Fisheries and Oceans Canada","funders":"Genome British Columbia; Michael Smith Health Research BC; Government of Canada; Australian Government","keywords":"Coronavirus disease 2019 (COVID-19); 2019-20 coronavirus outbreak; Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2); Betacoronavirus; Pandemic; Coronavirus Infections; Medicine; Virology; Internal medicine; Outbreak; Disease; Infectious disease (medical specialty)","authors":[{"name":"Sean C. Anderson","is_ca":true},{"name":"Nicola Mulberry","is_ca":true},{"name":"Andrew M. Edwards","is_ca":true},{"name":"Jessica E. Stockdale","is_ca":true},{"name":"Sarafa A. Iyaniwura","is_ca":true},{"name":"Rebeca Cardim Falcão","is_ca":true},{"name":"Michael Otterstatter","is_ca":true},{"name":"Naveed Z. Janjua","is_ca":true},{"name":"Daniel Coombs","is_ca":true},{"name":"Caroline Colijn","is_ca":true}],"retraction":null,"screen_n_in":null,"score":{"opus":0.3466812373484365,"gpt":0.4360685571016154,"spread":0.08938731975317882,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0098814,0.0005068161,0.001019035,0.0006368046,0.001087793,0.002629832,0.001551907,0.001966522,0.004356442],"category_scores_gemma":[0.04307437,0.0005265363,0.001465459,0.0006678877,0.002062293,0.004439806,0.002002962,0.00256677,0.0004856146],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002200068,"about_ca_system_score_gemma":0.002768892,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01225686,"about_ca_topic_score_gemma":0.02381079,"domain_scores_codex":[0.991995,0.004276695,0.0004313453,0.001183843,0.000681232,0.001431865],"domain_scores_gemma":[0.9669969,0.01728012,0.009387474,0.002067978,0.002110825,0.00215683],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.001480768,0.0005538258,0.6651518,0.001811941,0.002077366,0.00144781,0.004030581,0.05486071,0.008914026,0.02094908,0.007047961,0.2316741],"study_design_scores_gemma":[0.0002239199,0.003592634,0.7623247,0.001956024,0.001205334,0.001579679,0.01963087,0.07533912,0.007519068,0.08567307,0.04039622,0.0005593959],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9095884,0.004042313,0.05559435,0.01977931,0.0002970882,0.0002091723,0.00110515,0.000288316,0.009095909],"genre_scores_gemma":[0.9883007,0.0004891199,0.009141698,0.001230171,0.00005568248,0.00007213796,0.0002101711,0.00002994057,0.000470319],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01225686,"threshold_uncertainty_score":0.05225843,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2060918654","doi":"10.1016/j.epidem.2014.09.008","title":"Impacts of constrained culling and vaccination on control of foot and mouth disease in near-endemic settings: A pair approximation model","year":2014,"lang":"en","type":"article","venue":"Epidemics","topic":"Animal Disease Management and Epidemiology","field":"Agricultural and Biological Sciences","cited_by":17,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"University of Guelph","funders":"","keywords":"Culling; Vaccination; Outbreak; Foot-and-mouth disease; Population; Disease; Environmental health; Medicine; Vaccine efficacy; Immunology; Veterinary medicine; Virology","authors":[{"name":"Notice Ringa","is_ca":true},{"name":"Chris T. Bauch","is_ca":true}],"retraction":null,"screen_n_in":null,"score":{"opus":0.02209817935103921,"gpt":0.2416875723321384,"spread":0.2195893929810991,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001481397,0.001257239,0.001927884,0.0009150216,0.0006823438,0.002170998,0.002635237,0.003259198,0.006879358],"category_scores_gemma":[0.006060069,0.0009090469,0.001325187,0.0007689866,0.001634803,0.001374847,0.002030493,0.001926697,0.0006279905],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001652127,"about_ca_system_score_gemma":0.001274027,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02489039,"about_ca_topic_score_gemma":0.006938684,"domain_scores_codex":[0.9991924,0.0003728672,0.00002037317,0.0001094198,0.00006895494,0.0002359986],"domain_scores_gemma":[0.9965265,0.002091664,0.0006286823,0.00008267232,0.0002653129,0.0004052226],"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":[0.00008970405,0.00006522089,0.001524296,0.00004043602,0.0000390202,0.0002509084,0.00005208504,0.9867787,0.0001991493,0.009109293,0.0007134582,0.001137631],"study_design_scores_gemma":[0.00003876344,0.00005913605,0.0003996794,0.00001133772,0.00002227326,0.00003568475,0.00004558967,0.9958254,0.00003067461,0.003250361,0.0002682609,0.00001283847],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6794737,0.002926792,0.267483,0.005146781,0.0002793124,0.0002403566,0.001850625,0.0003229858,0.04227646],"genre_scores_gemma":[0.9776412,0.0006556899,0.006907495,0.0003092832,0.00004720084,0.0001366484,0.0003075766,0.00004480365,0.01395004],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02489039,"threshold_uncertainty_score":0.04949105,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W3090569580","doi":"10.1016/j.epidem.2020.100406","title":"Quantifying mechanistic traits of influenza viral dynamics using in vitro data","year":2020,"lang":"en","type":"article","venue":"Epidemics","topic":"Influenza Virus Research Studies","field":"Medicine","cited_by":17,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":true},"ca_institutions":"Toronto Metropolitan University","funders":"Division of Mathematical Sciences; RIKEN; Natural Sciences and Engineering Research Council of Canada; Department for International Development; National Institute for Health and Care Research; Government of Ontario; Wellcome Trust; Medical Research Council; Wellcome","keywords":"Biology; Influenza A virus subtype H5N1; Pandemic; Influenza A virus; Generation time; Adaptation (eye); Reproduction; Basic reproduction number; Viral replication; Strain (injury); In vitro; Virology; Replication (statistics); Virus; Genetics; Coronavirus disease 2019 (COVID-19); Infectious disease (medical specialty)","authors":[{"name":"Ada W. C. Yan","is_ca":false},{"name":"Jie Zhou","is_ca":false},{"name":"Catherine A. A. Beauchemin","is_ca":true},{"name":"Colin A. Russell","is_ca":false},{"name":"William Barclay","is_ca":false},{"name":"Steven Riley","is_ca":false}],"retraction":null,"screen_n_in":null,"score":{"opus":0.4921865770821297,"gpt":0.4763786916530229,"spread":0.01580788542910672,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00197435,0.0009150003,0.0008399796,0.0009812546,0.0004397379,0.001296808,0.0007738741,0.001197443,0.001006185],"category_scores_gemma":[0.005550896,0.0004655245,0.001235504,0.001197483,0.0004613067,0.001088006,0.0006434228,0.001407546,0.000566401],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0009755139,"about_ca_system_score_gemma":0.0003747942,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002472945,"about_ca_topic_score_gemma":0.002509244,"domain_scores_codex":[0.9986172,0.0004365617,0.0002033258,0.0002894349,0.0003442199,0.0001092078],"domain_scores_gemma":[0.9946396,0.00280868,0.0008393439,0.0008228678,0.0007288262,0.0001606349],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0004599792,0.0004299516,0.03304476,0.0007464747,0.0002579809,0.0002203696,0.0004252252,0.08075766,0.8726305,0.001295343,0.0003586429,0.009373032],"study_design_scores_gemma":[0.00002754268,0.001227438,0.06441031,0.00006643236,0.0002485037,0.0004807119,0.0003708891,0.246768,0.6800025,0.002242662,0.003938415,0.0002166697],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9073078,0.001982789,0.07231767,0.0001636311,0.00009474649,0.0002533096,0.01513459,0.0003677807,0.002377628],"genre_scores_gemma":[0.9467264,0.001551976,0.03759019,0.0001295596,0.00003106866,0.0003471376,0.01299576,0.00007519106,0.000552714],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.002472945,"threshold_uncertainty_score":0.01044148,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2088438797","doi":"10.1016/j.epidem.2012.11.003","title":"Detectable signals of episodic risk effects on acute HIV transmission: Strategies for analyzing transmission systems using genetic data","year":2012,"lang":"en","type":"article","venue":"Epidemics","topic":"HIV Research and Treatment","field":"Immunology and Microbiology","cited_by":16,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true},"ca_institutions":"McGill University; Jewish General Hospital","funders":"National Institute of Allergy and Infectious Diseases; Medical Research Council; National Institutes of Health; University of Michigan","keywords":"Transmission (telecommunications); Human immunodeficiency virus (HIV); Computer science; Medicine; Biology; Computational biology; Virology; Telecommunications","authors":[{"name":"Shah Jamal Alam","is_ca":false},{"name":"Xinyu Zhang","is_ca":false},{"name":"Ethan Romero-Severson","is_ca":false},{"name":"Christopher J. Henry","is_ca":false},{"name":"Lin Zhong","is_ca":false},{"name":"Erik Volz","is_ca":false},{"name":"Bluma Brenner","is_ca":true},{"name":"James S. Koopman","is_ca":false}],"retraction":null,"screen_n_in":null,"score":{"opus":0.05374913333843029,"gpt":0.330415636084279,"spread":0.2766665027458487,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.01316187,0.000915274,0.001385933,0.004850247,0.001013589,0.002293682,0.002401657,0.002033688,0.001039826],"category_scores_gemma":[0.0619889,0.00133375,0.00181717,0.003310646,0.002064633,0.003602456,0.002263919,0.002766522,0.0001774422],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001477724,"about_ca_system_score_gemma":0.001384853,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01038047,"about_ca_topic_score_gemma":0.008135737,"domain_scores_codex":[0.9969622,0.001975095,0.0001583164,0.0005577103,0.0002247627,0.0001219274],"domain_scores_gemma":[0.9348374,0.05457891,0.004762169,0.003842071,0.001022757,0.0009566399],"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":[0.0002536061,0.0004489344,0.168501,0.0004554948,0.001176942,0.0006937723,0.001552135,0.649907,0.00620877,0.06251178,0.001162879,0.1071277],"study_design_scores_gemma":[0.00002011547,0.00008859622,0.009516299,0.00004429623,0.00006047658,0.00008356257,0.0002909883,0.9227456,0.0007127657,0.06565786,0.0007289225,0.0000504951],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.1602873,0.0005307445,0.8355166,0.00109161,0.00002531934,0.0002519304,0.000851801,0.0004658615,0.0009788669],"genre_scores_gemma":[0.6638213,0.0004885526,0.3332482,0.0002283937,0.00007539898,0.0003457104,0.001055439,0.00008908426,0.0006479489],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.01316187,"threshold_uncertainty_score":0.06960744,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W3101669818","doi":"10.1016/j.epidem.2020.100419","title":"High-resolution estimates of tuberculosis incidence among non-U.S.-born persons residing in the United States, 2000–2016","year":2020,"lang":"en","type":"article","venue":"Epidemics","topic":"Tuberculosis Research and Epidemiology","field":"Medicine","cited_by":16,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true},"ca_institutions":"","funders":"National Center for Advancing Translational Sciences; National Center for HIV/AIDS, Viral Hepatitis, STD, and TB Prevention; Centers for Disease Control and Prevention; National Institutes of Health","keywords":"Demography; Tuberculosis; Incidence (geometry); Population; Census; Medicine; Confidence interval; Immigration; Rate ratio; Geography; Internal medicine","authors":[{"name":"Andrew Hill","is_ca":false},{"name":"Ted Cohen","is_ca":false},{"name":"Joshua A. Salomon","is_ca":false},{"name":"Nicolas A. Menzies","is_ca":false}],"retraction":null,"screen_n_in":null,"score":{"opus":0.04017574009070352,"gpt":0.3207482044471184,"spread":0.2805724643564149,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002412897,0.0005074771,0.0004873312,0.001880173,0.0003856768,0.000850819,0.0006834555,0.0003202806,0.001627902],"category_scores_gemma":[0.009406069,0.0004588768,0.0009075601,0.002456452,0.0001510439,0.000739438,0.001183752,0.0009131634,0.0008668078],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006432465,"about_ca_system_score_gemma":0.001220377,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0952236,"about_ca_topic_score_gemma":0.1202944,"domain_scores_codex":[0.9990162,0.0002839311,0.0001939129,0.0002088285,0.0001987519,0.00009842953],"domain_scores_gemma":[0.9962721,0.0005427948,0.0012914,0.0004212412,0.001210674,0.000261758],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00005937342,0.00004761352,0.9792591,0.0001288484,0.000251427,0.00003514982,0.0002465555,0.001774286,0.0001559134,0.0003447757,0.007003115,0.01069378],"study_design_scores_gemma":[0.00001905091,0.00005132849,0.9805961,0.0002413875,0.0001465337,0.0001702426,0.0005858277,0.005730443,0.0004944277,0.0005395907,0.0113973,0.0000278042],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.791414,0.002822304,0.01313156,0.0007903794,0.0001247148,0.0002738103,0.182654,0.0004807798,0.008308533],"genre_scores_gemma":[0.8632027,0.001744701,0.01195084,0.000281976,0.0001279431,0.0004473841,0.1195509,0.00006624775,0.002627345],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0952236,"threshold_uncertainty_score":0.1893387,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2804308277","doi":"10.1016/j.epidem.2018.05.009","title":"Kernel-density estimation and approximate Bayesian computation for flexible epidemiological model fitting in Python","year":2018,"lang":"en","type":"article","venue":"Epidemics","topic":"Markov Chains and Monte Carlo Methods","field":"Mathematics","cited_by":16,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"University of British Columbia","funders":"","keywords":"Approximate Bayesian computation; Computer science; Python (programming language); Computation; Bayesian probability; Data mining; Metric (unit); Kernel (algebra); Machine learning; Algorithm; Artificial intelligence; Inference; Mathematics","authors":[{"name":"Michael A. Irvine","is_ca":true},{"name":"T. Déirdre Hollingsworth","is_ca":false}],"retraction":null,"screen_n_in":null,"score":{"opus":0.1528272208952142,"gpt":0.4247517064203,"spread":0.2719244855250857,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00467733,0.001484558,0.001321851,0.001336302,0.001006862,0.00282919,0.004762216,0.001916146,0.04567745],"category_scores_gemma":[0.02724512,0.001484718,0.002180878,0.002003115,0.001403852,0.003980183,0.003721954,0.003543803,0.0144203],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001683399,"about_ca_system_score_gemma":0.003580713,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0075252,"about_ca_topic_score_gemma":0.01174089,"domain_scores_codex":[0.9980812,0.000609905,0.0002340654,0.0002562699,0.0006554723,0.0001630701],"domain_scores_gemma":[0.9927887,0.004530585,0.0003825043,0.001257545,0.0008206667,0.0002199913],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0005092664,0.0003758637,0.004656022,0.001181283,0.000273059,0.0006974256,0.001026198,0.2375876,0.004672474,0.2977181,0.08007224,0.3712305],"study_design_scores_gemma":[0.0000915184,0.00001751144,0.0003408792,0.00007018632,0.00001554864,0.0001093677,0.00003395993,0.8559147,0.001940383,0.1196298,0.02179501,0.00004104514],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.0008243851,0.00003790904,0.9735305,0.00009893121,0.00002577149,0.00004828714,0.0004243708,0.0238504,0.0011593],"genre_scores_gemma":[0.03758929,0.0001577557,0.9486226,0.0001797304,0.00004039843,0.0005097308,0.001394641,0.008345844,0.003159959],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.04567745,"threshold_uncertainty_score":0.1528063,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W4226028780","doi":"10.1016/j.epidem.2022.100557","title":"Estimating COVID-19 cases and deaths prevented by non-pharmaceutical interventions, and the impact of individual actions: A retrospective model-based analysis","year":2022,"lang":"en","type":"article","venue":"Epidemics","topic":"COVID-19 epidemiological studies","field":"Mathematics","cited_by":16,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":true},"ca_institutions":"University of Waterloo; University of Guelph","funders":"Natural Sciences and Engineering Research Council of Canada; Ministry of Training, Colleges and Universities","keywords":"Psychological intervention; Epidemiology; Demography; Medicine; Counterfactual thinking; Public health; Pandemic; Coronavirus disease 2019 (COVID-19); Geography; Psychology; Sociology","authors":[{"name":"Kathyrn R Fair","is_ca":true},{"name":"Vadim A. Karatayev","is_ca":true},{"name":"Madhur Anand","is_ca":true},{"name":"Chris T. Bauch","is_ca":true}],"retraction":null,"screen_n_in":null,"score":{"opus":0.3330224001861531,"gpt":0.5302169325029258,"spread":0.1971945323167726,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.008567933,0.0007737354,0.001238187,0.001170705,0.0004368811,0.00126748,0.002228488,0.001134721,0.002511836],"category_scores_gemma":[0.01692703,0.001124889,0.002023535,0.00111451,0.0007617087,0.0008793658,0.0009345386,0.001314693,0.000300145],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.006346014,"about_ca_system_score_gemma":0.006138598,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.4608872,"about_ca_topic_score_gemma":0.304261,"domain_scores_codex":[0.9980471,0.0009984815,0.0001179356,0.000381353,0.0001703398,0.0002847529],"domain_scores_gemma":[0.986611,0.008500609,0.002210226,0.0008665177,0.001365509,0.0004461404],"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":[0.000386451,0.00008172758,0.0952141,0.0001614477,0.0006039637,0.00009913106,0.0001125358,0.8937088,0.0001877444,0.00371106,0.0015417,0.004191309],"study_design_scores_gemma":[0.0001546108,0.0002548989,0.03306161,0.0001173228,0.0004414094,0.00008508848,0.0001833414,0.9591678,0.0002790638,0.002846109,0.003347415,0.00006122477],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9317378,0.001611619,0.0304732,0.001882192,0.0000505442,0.000524328,0.02827977,0.000228055,0.00521252],"genre_scores_gemma":[0.9803808,0.0005548946,0.007211914,0.0001444631,0.00002176697,0.000256641,0.009757417,0.00002296857,0.00164906],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4608872,"threshold_uncertainty_score":0.9164091,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2797683006","doi":"10.1016/j.epidem.2018.04.002","title":"Using state-space models to predict the abundance of juvenile and adult sea lice on Atlantic salmon","year":2018,"lang":"en","type":"article","venue":"Epidemics","topic":"Parasite Biology and Host Interactions","field":"Environmental Science","cited_by":14,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":false},"ca_institutions":"University of Prince Edward Island","funders":"Canada Excellence Research Chairs, Government of Canada; Canada Research Chairs","keywords":"Biology; Abundance (ecology); Lepeophtheirus; Pooling; Multivariate statistics; Fishery; Infestation; Juvenile; Ecology; Aquaculture; Statistics; Fish <Actinopterygii>; Mathematics","authors":[{"name":"Adel Elghafghuf","is_ca":true},{"name":"Raphaël Vanderstichel","is_ca":true},{"name":"Sophie St‐Hilaire","is_ca":true},{"name":"Henrik Stryhn","is_ca":true}],"retraction":null,"screen_n_in":null,"score":{"opus":0.04341273126092403,"gpt":0.3366322014131867,"spread":0.2932194701522627,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001728088,0.0008738704,0.0007047635,0.0007837663,0.0004394536,0.001128469,0.000634153,0.0009774775,0.00117025],"category_scores_gemma":[0.003544149,0.0006288158,0.001337654,0.0004454453,0.0005155017,0.0006054023,0.0006591358,0.001244438,0.0002272246],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001118207,"about_ca_system_score_gemma":0.001044894,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0768398,"about_ca_topic_score_gemma":0.04687463,"domain_scores_codex":[0.9996285,0.0001585268,0.00002367865,0.0001005464,0.00002416175,0.00006442733],"domain_scores_gemma":[0.9975225,0.001928353,0.0002539738,0.00006879547,0.000160397,0.00006583487],"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":[0.00005135825,0.00004765825,0.007803659,0.000008615119,0.00004319819,0.0000158583,0.0000243515,0.9886696,0.0001845598,0.0001841035,0.00006256844,0.00290451],"study_design_scores_gemma":[0.000002848016,0.00001408686,0.001185746,0.000001275355,0.000005726061,0.000001231755,0.000006401415,0.9986225,0.00003732568,0.0001011611,0.000017954,0.000003701525],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9679636,0.0001490219,0.03065499,0.0001520085,0.00002058627,0.0000324552,0.0002753088,0.0002089254,0.0005431017],"genre_scores_gemma":[0.9959794,0.00005938088,0.00287021,0.00001485729,0.00000670092,0.00003875025,0.0003461764,0.000009950502,0.0006746341],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0768398,"threshold_uncertainty_score":0.1527851,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W3024939679","doi":"10.1016/j.epidem.2020.100395","title":"Tooling-up for infectious disease transmission modelling","year":2020,"lang":"en","type":"review","venue":"Epidemics","topic":"COVID-19 epidemiological studies","field":"Mathematics","cited_by":14,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false},"ca_institutions":"","funders":"Medical Research Council; Directorate for Biological Sciences; National Institute for Health Research Biomedical Research Centre at Moorfields Eye Hospital NHS Foundation Trust and UCL Institute of Ophthalmology; Medical Research Council Canada; Biotechnology and Biological Sciences Research Council; Public Health England; Imperial College London; National Institute for Health Research Health Protection Research Unit; National Institute for Health and Care Research; Bill and Melinda Gates Foundation","keywords":"Infectious disease (medical specialty); Inference; Data science; Disease; Computer science; Field (mathematics); Artificial intelligence; Medicine; Mathematics","authors":[{"name":"Marc Baguelin","is_ca":false},{"name":"Graham F. Medley","is_ca":false},{"name":"Emily Nightingale","is_ca":false},{"name":"Kathleen O’Reilly","is_ca":false},{"name":"Eleanor M. Rees","is_ca":false},{"name":"Naomi R. Waterlow","is_ca":false},{"name":"Moritz Wagner","is_ca":false}],"retraction":null,"screen_n_in":null,"score":{"opus":0.5319784767302748,"gpt":0.4987366647091535,"spread":0.03324181202112125,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00451465,0.001718251,0.00191783,0.003240946,0.0004334042,0.002731779,0.002663608,0.003201345,0.009591013],"category_scores_gemma":[0.01534818,0.0006601724,0.002289425,0.003664737,0.002216921,0.00550648,0.002055303,0.006047525,0.005049466],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001703875,"about_ca_system_score_gemma":0.00261181,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001997105,"about_ca_topic_score_gemma":0.001566311,"domain_scores_codex":[0.9972281,0.001466011,0.0002691794,0.0002678511,0.000690299,0.0000785954],"domain_scores_gemma":[0.9891403,0.009365606,0.000360776,0.0003578649,0.0006619584,0.0001134043],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00002813678,0.00003520164,0.0001680801,0.01710924,0.0002303184,0.0001395931,0.0002233193,0.005492853,0.0002449169,0.235606,0.1916274,0.549095],"study_design_scores_gemma":[0.00001106375,0.00002436321,0.0001267571,0.006340731,0.00004675869,0.0002639327,0.00004426902,0.001345521,0.0001419055,0.09940909,0.8922102,0.00003532674],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.00007222307,0.9511815,0.03081405,0.008568045,0.004758622,0.00002562405,0.0001147081,0.000170529,0.004294674],"genre_scores_gemma":[0.002811664,0.9658504,0.02011843,0.003486995,0.004640237,0.0001407928,0.0002725154,0.0001385328,0.002540377],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.009591013,"threshold_uncertainty_score":0.03208512,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W3149463050","doi":"10.1016/j.epidem.2021.100461","title":"Can the combination of TasP and PrEP eliminate HIV among MSM in British Columbia, Canada?","year":2021,"lang":"en","type":"article","venue":"Epidemics","topic":"HIV/AIDS Research and Interventions","field":"Medicine","cited_by":14,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":true},"ca_institutions":"University of Victoria; AIDS Vancouver; University of British Columbia","funders":"National Institute on Drug Abuse; Ministry of Health, British Columbia; Canadian Institutes of Health Research; Public Health Agency of Canada; National Institutes of Health; Michael Smith Health Research BC","keywords":"Human immunodeficiency virus (HIV); Men who have sex with men; Pre-exposure prophylaxis; Virology; Medicine; Geography; Demography; Gerontology; Sociology","authors":[{"name":"Viviane D. Lima","is_ca":true},{"name":"Jielin Zhu","is_ca":true},{"name":"Kiffer G. Card","is_ca":true},{"name":"Nathan J. Lachowsky","is_ca":true},{"name":"Gerardo Chowell","is_ca":false},{"name":"Zunyou Wu","is_ca":false},{"name":"Julio Montaner","is_ca":true}],"retraction":null,"screen_n_in":null,"score":{"opus":0.01311925551910207,"gpt":0.2704935918811672,"spread":0.2573743363620651,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001394813,0.0007688078,0.0008119228,0.000582965,0.001932509,0.001716524,0.002311846,0.001005036,0.002406196],"category_scores_gemma":[0.003987079,0.0005582934,0.000738228,0.001032145,0.0008074651,0.0006473813,0.00103913,0.001119405,0.0001900261],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.05210243,"about_ca_system_score_gemma":0.07168386,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9958697,"about_ca_topic_score_gemma":0.9972996,"domain_scores_codex":[0.9986834,0.0003964685,0.00003296972,0.0001281117,0.0001572258,0.0006017251],"domain_scores_gemma":[0.9988871,0.0002906582,0.0001019105,0.00003621989,0.0004250262,0.0002591012],"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":[0.003267859,0.001004027,0.4238155,0.001543976,0.001627718,0.00251974,0.001717081,0.4377648,0.003923885,0.01328214,0.02360956,0.08592376],"study_design_scores_gemma":[0.0009147932,0.001415971,0.2899244,0.001039329,0.001849897,0.0004539953,0.008268485,0.6601529,0.002237422,0.006532653,0.02683767,0.0003724519],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9724592,0.004984827,0.002254996,0.005436639,0.00009040504,0.0003503591,0.003203055,0.00006501455,0.01115546],"genre_scores_gemma":[0.991106,0.001718649,0.001738791,0.0008088117,0.00001076801,0.00006408062,0.000662958,0.00001407546,0.003875922],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.05210243,"threshold_uncertainty_score":0.3780314,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W4315475093","doi":"10.1016/j.epidem.2022.100664","title":"How time-scale differences in asymptomatic and symptomatic transmission shape SARS-CoV-2 outbreak dynamics","year":2023,"lang":"en","type":"article","venue":"Epidemics","topic":"COVID-19 epidemiological studies","field":"Mathematics","cited_by":14,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"McMaster University","funders":"Simons Foundation","keywords":"Asymptomatic; Transmission (telecommunications); Medicine; Outbreak; Population; Demography; Scale (ratio); Incidence (geometry); Basic reproduction number; Pediatrics; Internal medicine; Mathematics; Virology; Environmental health; Computer science; Geography","authors":[{"name":"Jeremy D. Harris","is_ca":false},{"name":"Sang Woo Park","is_ca":false},{"name":"Jonathan Dushoff","is_ca":true},{"name":"Joshua S. Weitz","is_ca":false}],"retraction":null,"screen_n_in":null,"score":{"opus":0.1419859433149663,"gpt":0.3700893708573944,"spread":0.2281034275424281,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006015667,0.0002326751,0.0002697722,0.0003632892,0.0002825333,0.001205872,0.0003255286,0.0005299392,0.001505501],"category_scores_gemma":[0.003506052,0.0002164132,0.0005691797,0.0002755089,0.0004586147,0.001315224,0.0004993975,0.0006278708,0.0002656],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004977413,"about_ca_system_score_gemma":0.0003692663,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00607017,"about_ca_topic_score_gemma":0.005323848,"domain_scores_codex":[0.9997532,0.00006209312,0.00001437997,0.00008795871,0.00002763761,0.00005475092],"domain_scores_gemma":[0.9991007,0.0003486541,0.0003139736,0.00009248439,0.00006899505,0.00007525929],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0007415279,0.000340784,0.4838843,0.0002872931,0.0005821812,0.001338017,0.002131859,0.3130912,0.1107659,0.03415186,0.004210756,0.04847426],"study_design_scores_gemma":[0.000042413,0.0002753745,0.4773418,0.00005208994,0.0001638651,0.0007371801,0.001517661,0.479329,0.004713759,0.03241508,0.003259724,0.0001520922],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9852123,0.0002413414,0.0107045,0.0004652905,0.00002368192,0.00001507455,0.0003590242,0.00004564365,0.002932942],"genre_scores_gemma":[0.9984332,0.0001113621,0.0008199351,0.00005077964,0.000008149093,0.000005781383,0.0001512163,0.00001266132,0.000407069],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.00607017,"threshold_uncertainty_score":0.01206964,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2300762335","doi":"10.1016/j.epidem.2016.02.002","title":"A population's higher-risk sexual behaviour is associated with its average sexual behaviour—An ecological analysis of subpopulations in Ethiopia, Kenya, South Africa, Uganda and the United States","year":2016,"lang":"en","type":"article","venue":"Epidemics","topic":"Adolescent Sexual and Reproductive Health","field":"Health Professions","cited_by":13,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"University of Manitoba","funders":"","keywords":"Decile; Demography; Population; Spearman's rank correlation coefficient; Ethnic group; Wilcoxon signed-rank test; Rank correlation; Geography; Medicine; Statistics","authors":[{"name":"Chris Kenyon","is_ca":false},{"name":"Achilleas Tsoumanis","is_ca":false},{"name":"Ilan S. Schwartz","is_ca":true}],"retraction":null,"screen_n_in":null,"score":{"opus":0.1082165265269688,"gpt":0.3923048900564525,"spread":0.2840883635294837,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0009309771,0.0002127658,0.0003573847,0.001093559,0.0008780538,0.0007305702,0.0002955883,0.0002547352,0.0005623303],"category_scores_gemma":[0.001528428,0.0002254187,0.0003799079,0.000940947,0.0005351533,0.0003992572,0.0007983982,0.0003130122,0.00007115919],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003518298,"about_ca_system_score_gemma":0.0003049498,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01344885,"about_ca_topic_score_gemma":0.01670347,"domain_scores_codex":[0.9995672,0.0002400372,0.00003039757,0.00006913624,0.00003182899,0.00006142376],"domain_scores_gemma":[0.9992089,0.0002245959,0.000241495,0.00008059723,0.0001181686,0.0001263431],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00008005985,0.00003695402,0.9962699,0.00001132459,0.00008049655,0.00008813776,0.001292851,0.0001258435,0.0004526579,0.00007152012,0.00005522573,0.001434957],"study_design_scores_gemma":[0.000002199404,0.00004044539,0.9971496,0.000007619725,0.00001683581,0.0001683734,0.002114245,0.0003307389,0.00003605572,0.00003616878,0.00009321938,0.000004607304],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9998432,0.00002559257,0.00003080378,0.000004867437,4.888788e-7,0.000003169725,0.00003463012,3.32484e-7,0.00005684918],"genre_scores_gemma":[0.9998226,0.00002140625,0.00007536331,0.000003550436,7.505461e-7,0.000003976011,0.00005453506,5.211828e-7,0.0000174029],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01344885,"threshold_uncertainty_score":0.02674109,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W4391487123","doi":"10.1016/j.epidem.2024.100744","title":"Estimating the population effectiveness of interventions against COVID-19 in France: A modelling study","year":2024,"lang":"en","type":"article","venue":"Epidemics","topic":"COVID-19 epidemiological studies","field":"Mathematics","cited_by":13,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":false},"ca_institutions":"York University; McGill University Health Centre","funders":"Fonds de Recherche du Québec - Santé; Natural Sciences and Engineering Research Council of Canada; Conseil Régional Aquitaine; Université de Bordeaux; Institut polytechnique de Bordeaux; Centre National de la Recherche Scientifique; Institut National de la Santé et de la Recherche Médicale; Swiss Vaccine Research Institute; Agence Nationale de la Recherche; Institut national de recherche en informatique et en automatique (INRIA); Public Health Agency of Canada","keywords":"Curfew; Pandemic; Preparedness; Psychological intervention; Confidence interval; Medicine; Coronavirus disease 2019 (COVID-19); Transmission (telecommunications); Credible interval; Population; Estimation; Epidemiology; Vaccine efficacy; Environmental health; Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2); Demography; Computer science; Vaccination; Virology; Disease; Internal medicine","authors":[{"name":"Iris Ganser","is_ca":true},{"name":"David L. Buckeridge","is_ca":true},{"name":"Jane M. Heffernan","is_ca":true},{"name":"Mélanie Prague","is_ca":false},{"name":"Rodolphe Thiébaut","is_ca":false}],"retraction":null,"screen_n_in":null,"score":{"opus":0.3373806029030028,"gpt":0.501585729509934,"spread":0.1642051266069312,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.008497982,0.001805026,0.00172725,0.001770929,0.0006384806,0.001860457,0.002321656,0.003458299,0.003448787],"category_scores_gemma":[0.01741178,0.0007709177,0.00372235,0.001152423,0.0008416028,0.00118367,0.001133405,0.001570605,0.0003078326],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.006999714,"about_ca_system_score_gemma":0.003868981,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.1217565,"about_ca_topic_score_gemma":0.04591441,"domain_scores_codex":[0.996119,0.002910905,0.00009043206,0.0003454296,0.0001207007,0.0004135036],"domain_scores_gemma":[0.9706563,0.02606666,0.001405044,0.0005138043,0.0009313559,0.0004267691],"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":[0.0003369378,0.0003723942,0.0189705,0.0001178324,0.0004962773,0.0001664561,0.000114963,0.9701875,0.0001894791,0.002757771,0.0008708679,0.005418945],"study_design_scores_gemma":[0.000255351,0.0006572408,0.00851711,0.00006821412,0.0003199817,0.00006692536,0.0001457175,0.9858685,0.0001773593,0.00292324,0.0009610746,0.00003934857],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9656616,0.001558454,0.02270528,0.002237523,0.00005079253,0.0003131173,0.002361486,0.0001684074,0.004943342],"genre_scores_gemma":[0.9868773,0.0007417598,0.008950463,0.0002731016,0.00004288502,0.0003905979,0.001186897,0.00002421772,0.00151276],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1217565,"threshold_uncertainty_score":0.2420957,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W4380853859","doi":"10.1016/j.epidem.2023.100693","title":"A pair formation model with recovery: Application to mpox","year":2023,"lang":"en","type":"article","venue":"Epidemics","topic":"Poxvirus research and outbreaks","field":"Immunology and Microbiology","cited_by":11,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":true},"ca_institutions":"York University; Toronto Centre for Phenogenomics; Mount Allison University","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Outbreak; Basic reproduction number; Public health interventions; Immunity; Public health; Infectious disease (medical specialty); Epidemic model; Transmission (telecommunications); Disease; Computer science; Biology; Immunology; Medicine; Virology; Telecommunications; Environmental health; Immune system; Internal medicine","authors":[{"name":"Matthew Betti","is_ca":true},{"name":"Lauren Farrell","is_ca":true},{"name":"Jane M. Heffernan","is_ca":true}],"retraction":null,"screen_n_in":null,"score":{"opus":0.02802164384073552,"gpt":0.2875442033300951,"spread":0.2595225594893595,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001415359,0.0007932648,0.001168495,0.0007216639,0.001160406,0.00123166,0.002188015,0.002513302,0.006686685],"category_scores_gemma":[0.006796888,0.0003897287,0.001145416,0.000531512,0.002008758,0.001709394,0.003011855,0.002084159,0.0004924731],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001364114,"about_ca_system_score_gemma":0.0009579239,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01639631,"about_ca_topic_score_gemma":0.005554822,"domain_scores_codex":[0.9995023,0.0002050751,0.00001698667,0.0000835469,0.00005893009,0.0001330934],"domain_scores_gemma":[0.9979614,0.001025065,0.0004111633,0.0001047895,0.0001842157,0.000313475],"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":[0.0002200024,0.0001818382,0.005454018,0.0001106892,0.0001099116,0.001357979,0.0008283882,0.7143007,0.002105097,0.2614069,0.004085539,0.009839024],"study_design_scores_gemma":[0.00005241749,0.00008592816,0.0005721353,0.00001134694,0.00002589366,0.00009441953,0.0001693347,0.9634473,0.0001238233,0.03408068,0.001312467,0.00002434192],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.5357979,0.0014006,0.4125819,0.005065178,0.0003633962,0.0002852133,0.0006596408,0.0003217158,0.04352452],"genre_scores_gemma":[0.971033,0.0004098831,0.01017311,0.0001895326,0.00008267135,0.0001347233,0.0001227903,0.00003404163,0.01782018],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01639631,"threshold_uncertainty_score":0.03260177,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W4306893697","doi":"10.1016/j.epidem.2022.100645","title":"Timeliness of reporting of SARS-CoV-2 seroprevalence results and their utility for infectious disease surveillance","year":2022,"lang":"en","type":"review","venue":"Epidemics","topic":"SARS-CoV-2 and COVID-19 Research","field":"Medicine","cited_by":11,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":false},"ca_institutions":"Canada Research Chairs; McMaster University; University of Toronto; University of New Brunswick; McGill University; University of Calgary","funders":"Robert Koch Institut; Canadian Medical Association; Public Health Agency of Canada; World Health Organization","keywords":"Seroprevalence; Representativeness heuristic; Medicine; Population; Sample (material); Public health; Sampling frame; Environmental health; Demography; Statistics; Serology; Immunology; Pathology","authors":[{"name":"Claire Donnici","is_ca":true},{"name":"Natasha Ilincic","is_ca":true},{"name":"Christian Cao","is_ca":true},{"name":"Caseng Zhang","is_ca":true},{"name":"Gabriel Deveaux","is_ca":true},{"name":"David A. Clifton","is_ca":false},{"name":"David L. Buckeridge","is_ca":true},{"name":"Niklas Bobrovitz","is_ca":true},{"name":"Rahul K. Arora","is_ca":true}],"retraction":null,"screen_n_in":null,"score":{"opus":0.2380033778189871,"gpt":0.4589039287622115,"spread":0.2209005509432244,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":["metaresearch"],"consensus_categories":["metaresearch"],"category_scores_codex":[0.2747836,0.001077316,0.002937276,0.0205928,0.001131259,0.006087684,0.002532272,0.001575018,0.003514026],"category_scores_gemma":[0.6165424,0.001382832,0.007777831,0.03091428,0.002060491,0.007568104,0.003733339,0.001720035,0.000617752],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00306548,"about_ca_system_score_gemma":0.007864933,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.006074838,"about_ca_topic_score_gemma":0.008205039,"domain_scores_codex":[0.5750473,0.1804541,0.190883,0.01651358,0.03467476,0.002427227],"domain_scores_gemma":[0.1151668,0.5711648,0.2430447,0.03263475,0.03652474,0.001464152],"domain_codex":null,"domain_gemma":"reporting","domain_candidate":"reporting","domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.003615835,0.00009973648,0.6109115,0.1238059,0.02548196,0.0004871922,0.006961056,0.002205969,0.001038905,0.002319667,0.0108423,0.21223],"study_design_scores_gemma":[0.0007824361,0.001653496,0.7764639,0.09329712,0.02279459,0.003218489,0.005182013,0.003358741,0.003071614,0.004728487,0.08487134,0.0005779772],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.2628041,0.6052261,0.0321258,0.01322771,0.002860412,0.003712796,0.07069639,0.000589899,0.008756882],"genre_scores_gemma":[0.8502291,0.08819831,0.02784113,0.002019005,0.001754937,0.006636529,0.02175852,0.0003772957,0.001185047],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.7252164,"threshold_uncertainty_score":0.894321,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2091484694","doi":"10.1016/j.epidem.2015.03.004","title":"Social deprivation and burden of influenza: Testing hypotheses and gaining insights from a simulation model for the spread of influenza","year":2015,"lang":"en","type":"article","venue":"Epidemics","topic":"COVID-19 epidemiological studies","field":"Mathematics","cited_by":9,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"McGill University","funders":"","keywords":"Replicate; Population; Psychological intervention; Empirical research; Econometrics; Scale (ratio); Computer science; Environmental health; Psychology; Medicine; Geography; Statistics; Mathematics; Cartography","authors":[{"name":"Ayaz Hyder","is_ca":true},{"name":"Brian Leung","is_ca":true}],"retraction":null,"screen_n_in":null,"score":{"opus":0.6335333468493032,"gpt":0.4745794292812966,"spread":0.1589539175680065,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001576412,0.0005619866,0.0006182103,0.0007183463,0.0004727372,0.0009617891,0.0008418037,0.00106113,0.001697457],"category_scores_gemma":[0.00915728,0.0003431668,0.0008095854,0.0006071913,0.0008259427,0.000936472,0.001075182,0.0008125331,0.0001024377],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001430364,"about_ca_system_score_gemma":0.001120079,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02717995,"about_ca_topic_score_gemma":0.01598592,"domain_scores_codex":[0.9993806,0.0004330473,0.00002260025,0.00006050483,0.00002969917,0.00007350958],"domain_scores_gemma":[0.995312,0.003661422,0.00040618,0.0002050669,0.0002147072,0.000200612],"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":[0.00005860767,0.00004235979,0.006708298,0.0000108879,0.00002720579,0.00004839818,0.00009401481,0.9834008,0.000167373,0.008429467,0.000154085,0.0008586617],"study_design_scores_gemma":[0.00001435016,0.00002007738,0.000663039,0.000003949175,0.000007137963,0.000008186159,0.00003573504,0.9962015,0.00003336503,0.002911904,0.00009646549,0.000004408296],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9222733,0.0001944043,0.06966837,0.001301467,0.00003627559,0.00007500645,0.0005500822,0.00006901106,0.005832085],"genre_scores_gemma":[0.9890177,0.0001356552,0.009552809,0.00005273482,0.00001276156,0.00007770227,0.0002077211,0.00001249241,0.0009305205],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02717995,"threshold_uncertainty_score":0.05404353,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W4205762838","doi":"10.1016/j.epidem.2022.100537","title":"A semi-parametric mixed model for short-term projection of daily COVID-19 incidence in Canada","year":2022,"lang":"en","type":"article","venue":"Epidemics","topic":"COVID-19 epidemiological studies","field":"Mathematics","cited_by":9,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":true},"ca_institutions":"Public Health Agency of Canada","funders":"Public Health Agency of Canada","keywords":"Coronavirus disease 2019 (COVID-19); Parametric statistics; Term (time); Semiparametric model; Logistic regression; Pandemic; Econometrics; Projection (relational algebra); Parametric model; Covariate; Public health; Statistics; Computer science; Geography; Medicine; Mathematics","authors":[{"name":"Muhammad Abu Shadeque Mullah","is_ca":true},{"name":"Ping Yan","is_ca":true}],"retraction":null,"screen_n_in":null,"score":{"opus":0.3169514102245446,"gpt":0.4284084297991478,"spread":0.1114570195746032,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.003299501,0.001201162,0.001270272,0.001134562,0.0009998479,0.001943832,0.003458245,0.001562103,0.003763286],"category_scores_gemma":[0.0079159,0.0007508937,0.001315985,0.001439797,0.001596714,0.0007716336,0.00155095,0.00203934,0.0005685266],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.006679139,"about_ca_system_score_gemma":0.008536671,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.6127725,"about_ca_topic_score_gemma":0.4411608,"domain_scores_codex":[0.9986446,0.000582114,0.00005145074,0.0002788452,0.0001588044,0.0002841834],"domain_scores_gemma":[0.995571,0.002655337,0.0004528465,0.0001445332,0.001015433,0.0001608449],"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":[0.0001681582,0.00003165298,0.007503606,0.00005765402,0.00008933044,0.0001615868,0.0001361375,0.9636026,0.0002337149,0.01785974,0.002014189,0.008141603],"study_design_scores_gemma":[0.00001414021,0.0000219814,0.001288133,0.00001194417,0.00002131213,0.00001496619,0.00003510435,0.9953506,0.00005617126,0.002446598,0.0007217274,0.00001719518],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.3386213,0.002296104,0.6354719,0.003860383,0.0002913154,0.000432978,0.009903582,0.0009333752,0.008189018],"genre_scores_gemma":[0.9406582,0.001026551,0.03871106,0.0002669714,0.0001044835,0.0005293463,0.003951643,0.0000891548,0.01466258],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.3872275,"threshold_uncertainty_score":0.7790159,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W3138393914","doi":"10.1016/j.epidem.2021.100457","title":"The performance of phenomenological models in providing near-term Canadian case projections in the midst of the COVID-19 pandemic: March – April, 2020","year":2021,"lang":"en","type":"article","venue":"Epidemics","topic":"COVID-19 epidemiological studies","field":"Mathematics","cited_by":7,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":true},"ca_institutions":"Public Health Agency of Canada","funders":"Public Health Agency; Public Health Agency of Canada","keywords":"Pandemic; Coronavirus disease 2019 (COVID-19); Demography; Term (time); Logistic regression; Epidemiology; Logistic function; Public health; Statistics; Estimation; Econometrics; Medicine; Mathematics; Economics; Sociology","authors":[{"name":"Ben A. Smith","is_ca":true},{"name":"Christina Bancej","is_ca":true},{"name":"Aamir Fazil","is_ca":true},{"name":"Muhammad Abu Shadeque Mullah","is_ca":true},{"name":"Ping Yan","is_ca":true},{"name":"Shenghai Zhang","is_ca":true}],"retraction":null,"screen_n_in":null,"score":{"opus":0.3880013733108432,"gpt":0.4265618336573479,"spread":0.03856046034650468,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":["metaresearch"],"consensus_categories":[],"category_scores_codex":[0.009479895,0.001441325,0.0005992959,0.002096977,0.001480876,0.002983972,0.002114039,0.001377641,0.001617732],"category_scores_gemma":[0.03762182,0.0007561673,0.00158215,0.00142639,0.0008692602,0.001468485,0.001228386,0.001096232,0.0002646067],"about_ca_system_candidate":true,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.01293786,"about_ca_system_score_gemma":0.01217375,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.6822377,"about_ca_topic_score_gemma":0.5519534,"domain_scores_codex":[0.9971702,0.001751165,0.0001482292,0.0003748376,0.0003227237,0.0002329149],"domain_scores_gemma":[0.9823608,0.0122702,0.001571576,0.0005260271,0.002844669,0.0004266981],"domain_codex":null,"domain_gemma":"methods","domain_candidate":"methods","domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0003084027,0.0001230592,0.06313033,0.0001980761,0.0002109199,0.0001066709,0.0005773809,0.9143295,0.0002395731,0.004882393,0.001460053,0.01443364],"study_design_scores_gemma":[0.00004908109,0.0001146635,0.01078283,0.0001263945,0.00007472582,0.00004469732,0.0006739655,0.9827201,0.00017038,0.004022782,0.001123462,0.00009689275],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8901753,0.001392764,0.08407395,0.003276243,0.0001503966,0.0008277945,0.003953358,0.0005197669,0.01563053],"genre_scores_gemma":[0.9703292,0.0004151554,0.0266136,0.0002663558,0.0000286821,0.0001640035,0.001536842,0.00003551698,0.0006105812],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.9905201,"threshold_uncertainty_score":0.6392672,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2414666632","doi":"10.1016/j.epidem.2016.10.003","title":"Estimate of the reproduction number of the 2015 Zika virus outbreak in Barranquilla, Colombia, and estimation of the relative role of sexual transmission","year":2016,"lang":"en","type":"preprint","venue":"Epidemics","topic":"Mosquito-borne diseases and control","field":"Medicine","cited_by":6,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":false},"ca_institutions":"University of British Columbia","funders":"Natural Sciences and Engineering Research Council of Canada; National Security Agency; National Science Foundation","keywords":"Outbreak; Sexual transmission; Zika virus; Transmission (telecommunications); Basic reproduction number; Demography; Estimation; Confidence interval; Attack rate; Biology; Geography; Virology; Medicine; Population; Virus; Internal medicine","authors":[{"name":"Sherry Towers","is_ca":false},{"name":"Fred Brauer","is_ca":true},{"name":"Carlos Castillo‐Chávez","is_ca":false},{"name":"Andrew K. Falconar","is_ca":false},{"name":"Anuj Mubayi","is_ca":false},{"name":"Claudia M. Romero-Vivas","is_ca":false}],"retraction":null,"screen_n_in":null,"score":{"opus":0.01205842019339589,"gpt":0.3073944649122782,"spread":0.2953360447188823,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001033327,0.0003780808,0.0002509462,0.0007047598,0.0002203041,0.00048081,0.0004084306,0.0002585349,0.001154485],"category_scores_gemma":[0.006007638,0.0001449597,0.0003696788,0.0002793494,0.0002635799,0.0004423138,0.0003531491,0.0003931983,0.0001211998],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001801437,"about_ca_system_score_gemma":0.0007773704,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.09416135,"about_ca_topic_score_gemma":0.0575572,"domain_scores_codex":[0.9997222,0.00008384851,0.00002146711,0.00009293087,0.00004250845,0.00003699105],"domain_scores_gemma":[0.9985366,0.0007558381,0.000357321,0.00007631333,0.0002045188,0.00006941122],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0003000524,0.00007094762,0.857102,0.0003624699,0.0002793212,0.0001962781,0.0003441437,0.1068746,0.00254002,0.001883631,0.002582763,0.02746392],"study_design_scores_gemma":[0.00002915454,0.0001392159,0.7815774,0.0001422319,0.0001084352,0.0002230832,0.0004227496,0.212391,0.001180625,0.001231418,0.002493741,0.00006098458],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9793913,0.00147556,0.01118856,0.0003206379,0.00002186247,0.00008228178,0.004232142,0.0001147841,0.003172842],"genre_scores_gemma":[0.9961572,0.0001749913,0.001856781,0.0000191561,0.000004787074,0.00002125197,0.001569969,0.000005203531,0.000190654],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.09416135,"threshold_uncertainty_score":0.1872265,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null}]}