{"id":"W4308835177","doi":"10.1101/2022.11.07.22282017","title":"Estimating the seroincidence of scrub typhus using antibody dynamics following infection","year":2022,"lang":"en","type":"preprint","venue":"medRxiv","topic":"Vector-borne infectious diseases","field":"Immunology and Microbiology","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"Fogarty International Center; National Institutes of Health","keywords":"Scrub typhus; Medicine; Orientia tsutsugamushi; Population; Antibody; Titer; Incidence (geometry); Immunology; Internal medicine; Virology; Environmental health","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001451251,0.0004451021,0.0004103152,0.001197156,0.0001599816,0.0007605662,0.0005340396,0.0004459322,0.0005046283],"category_scores_gemma":[0.005452289,0.000302255,0.0005378433,0.0005499384,0.0002265603,0.0005216,0.0005064206,0.0003682328,0.0001310383],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004252628,"about_ca_system_score_gemma":0.000477891,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.009916974,"about_ca_topic_score_gemma":0.004992265,"domain_scores_codex":[0.9995259,0.0001949973,0.00003678884,0.0001373804,0.00006091012,0.00004404442],"domain_scores_gemma":[0.9976125,0.001166647,0.0007082099,0.0001721961,0.0002262562,0.0001142279],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00007271102,0.00005197111,0.9675689,0.00003026214,0.0001688547,0.00004592168,0.00006178247,0.02108918,0.001696305,0.0001174481,0.0001012801,0.008995318],"study_design_scores_gemma":[0.00001492684,0.0002690538,0.5982811,0.00003548628,0.000125484,0.0002332211,0.0002149734,0.3977231,0.002034314,0.0006816888,0.0003589631,0.00002773962],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9831026,0.00009736758,0.01567506,0.00003981111,0.000004660509,0.0000328843,0.000682379,0.00005728018,0.0003078831],"genre_scores_gemma":[0.9952692,0.00004449544,0.00404002,0.00001288649,0.000003478514,0.00001932953,0.0005206603,0.000002551628,0.00008730714],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.009916974,"threshold_uncertainty_score":0.01971847,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02295973291032697,"score_gpt":0.3107778594134865,"score_spread":0.2878181265031595,"validation_status":"score_only:v0-immature-baseline","note":"Baseline scores from an immature model (maturity gate not passed). Scores rank; they never assert a category."}}