{"id":"W3012761818","doi":"10.1093/ije/dyaa031","title":"Estimating the relative probability of direct transmission between infectious disease patients","year":2020,"lang":"en","type":"article","venue":"International Journal of Epidemiology","topic":"COVID-19 epidemiological studies","field":"Mathematics","cited_by":18,"is_retracted":false,"has_abstract":true,"ca_institutions":"Public Health Ontario; University of Toronto","funders":"National Institute of General Medical Sciences; NIH Office of the Director; Canadian Institutes of Health Research; Center for AIDS Research, University of Washington; National Institutes of Health; National Institute of Allergy and Infectious Diseases; CRDF Global","keywords":"Medicine; Infectious disease (medical specialty); Disease transmission; Transmission (telecommunications); Statistics; Mathematics; Disease; Virology; Internal medicine; Computer science","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaresearch"],"consensus_categories":[],"category_scores_codex":[0.003870821,0.0001565294,0.0007959798,0.00005143786,0.00006993668,0.000003861867,0.0005197573,0.00008457204,0.00005702585],"category_scores_gemma":[0.1501855,0.00008676649,0.0003783473,0.0001088848,0.0002762796,0.0001274165,0.0001550279,0.0004243301,0.000003200591],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001272756,"about_ca_system_score_gemma":0.00006854596,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00002459966,"about_ca_topic_score_gemma":0.000001402016,"domain_scores_codex":[0.9959497,0.001676809,0.001679783,0.0002110432,0.000295224,0.0001873939],"domain_scores_gemma":[0.9626479,0.03445372,0.001857189,0.0001293014,0.0007218539,0.0001901091],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.0002300009,0.000130485,0.9752224,0.00005714438,0.0004097156,0.000005483667,0.0005063833,0.001766176,0.000009883508,0.006421589,0.001602271,0.01363847],"study_design_scores_gemma":[0.0005695985,0.0003511075,0.402299,0.0001254583,0.0001268462,0.000002123562,0.000007147969,0.001817455,0.00001835459,0.5925417,0.002050738,0.00009049034],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.707691,0.0003696835,0.2394819,0.05104724,0.0004328474,0.0003504187,0.00004647002,0.00003332069,0.0005470975],"genre_scores_gemma":[0.9616113,0.00002946003,0.03619663,0.001687041,0.0004506548,0.000005934579,0.000004673263,0.000009376074,0.000004941801],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.5861201,"threshold_uncertainty_score":0.8569729,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.2749598267571643,"score_gpt":0.4525943972967894,"score_spread":0.1776345705396251,"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."}}