{"id":"W3204426344","doi":"10.7554/elife.69302","title":"Quantifying the relationship between SARS-CoV-2 viral load and infectiousness","year":2021,"lang":"en","type":"article","venue":"eLife","topic":"COVID-19 epidemiological studies","field":"Mathematics","cited_by":153,"is_retracted":false,"has_abstract":true,"ca_institutions":"Institute of Infection and Immunity","funders":"European Research Council; Generalitat de Catalunya; Agence Nationale de la Recherche; National Institute for Health and Care Research; Bill and Melinda Gates Foundation","keywords":"Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2); Coronavirus disease 2019 (COVID-19); 2019-20 coronavirus outbreak; Virology; Viral load; Biology; Sars virus; Pandemic; Computational biology; Infectious disease (medical specialty); Medicine; Outbreak; Virus; Disease","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":"codex-gemma-dda1882f352a","candidate_categories":["metaresearch"],"consensus_categories":[],"category_scores_codex":[0.001083987,0.0001140043,0.0002647814,0.00001578799,0.0003613229,0.00003867421,0.00008634358,0.00008183367,0.000007659752],"category_scores_gemma":[0.03022831,0.00007387459,0.00006563643,0.0001720165,0.00009897211,0.00005632345,0.00021936,0.0002465313,0.00004410947],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00006312635,"about_ca_system_score_gemma":0.00004537211,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00009952649,"about_ca_topic_score_gemma":0.0003058942,"domain_scores_codex":[0.9988351,0.000282317,0.0002794886,0.0002168829,0.0001993446,0.0001868045],"domain_scores_gemma":[0.9872851,0.01225826,0.00009290822,0.0002478803,0.00009117804,0.00002462967],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.000002224125,0.00001411302,0.9529218,0.00004574334,0.0000306996,0.0000042934,0.0003757091,0.000001047804,0.0002397368,0.04265704,0.003409608,0.0002980026],"study_design_scores_gemma":[0.0002081698,0.00001793105,0.8845662,0.00003865362,0.00005385506,0.000004574098,0.0001517223,0.00002947179,0.00220785,0.1034873,0.009098483,0.0001357804],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9914277,0.0005846353,0.00225114,0.004322741,0.00008970913,0.000117124,0.000004425114,0.0001068342,0.001095677],"genre_scores_gemma":[0.997371,0.00003445715,0.000937739,0.001359593,0.0001800105,0.00001602931,0.000001729714,0.00001075954,0.00008873942],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.06835561,"threshold_uncertainty_score":0.9779405,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.5123781475589471,"score_gpt":0.4777231007363833,"score_spread":0.03465504682256376,"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."}}