{"id":"W4389262482","doi":"10.1016/j.epidem.2023.100733","title":"A method to estimate the serial interval distribution under partially-sampled data","year":2023,"lang":"en","type":"article","venue":"Epidemics","topic":"COVID-19 epidemiological studies","field":"Mathematics","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"Simon Fraser University","funders":"","keywords":"Interval (graph theory); Statistics; Computer science; Factoring; Transmission (telecommunications); Population; Distribution (mathematics); Confidence interval; Econometrics; Algorithm; Data mining; Mathematics; Medicine","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":[0.009683299,0.001249637,0.001544842,0.003643817,0.000913522,0.001511483,0.003251927,0.001659118,0.002474457],"category_scores_gemma":[0.04681225,0.0009289883,0.002396349,0.002679903,0.001187005,0.001972634,0.001840402,0.003620548,0.00095532],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008777355,"about_ca_system_score_gemma":0.0021102,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.008318897,"about_ca_topic_score_gemma":0.0057107,"domain_scores_codex":[0.9953724,0.002172367,0.0003474788,0.001034143,0.0008888194,0.0001847858],"domain_scores_gemma":[0.9655929,0.02535774,0.002583513,0.003312051,0.002753442,0.0004003076],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.0005518053,0.000242907,0.04214541,0.0006117552,0.001062393,0.0006931183,0.0007612582,0.3768476,0.00933091,0.06129007,0.0089561,0.4975066],"study_design_scores_gemma":[0.00005209878,0.00005903115,0.002956856,0.00005734764,0.00005324599,0.0002662399,0.00004027837,0.9725161,0.001906583,0.01884032,0.003197491,0.00005445527],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.003132489,0.0001013939,0.9959171,0.00004786717,0.00003317066,0.00005669814,0.0001413584,0.0004256903,0.0001441547],"genre_scores_gemma":[0.1005666,0.000347633,0.8947901,0.0001608594,0.0002531915,0.0006262349,0.001709746,0.0002678965,0.00127759],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.009683299,"threshold_uncertainty_score":0.05121076,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.5297259748476276,"score_gpt":0.5607600866412564,"score_spread":0.0310341117936288,"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."}}