{"id":"W4390411751","doi":"10.21203/rs.3.rs-3760127/v1","title":"Accuracy of Inferences About the Reproductive Number and Superspreading Potential of SARS-CoV-2 with Incomplete Contact Tracing Data","year":2023,"lang":"en","type":"preprint","venue":"Research Square","topic":"COVID-19 epidemiological studies","field":"Mathematics","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Fractal Systems (Canada)","funders":"National Institutes of Health","keywords":"Contact tracing; Tracing; Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2); Coronavirus disease 2019 (COVID-19); Transmission (telecommunications); Location data; Computer science; Infectious disease (medical specialty); Medicine; Disease; Pathology; Real-time computing; Telecommunications","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":[0.05854585,0.0007714538,0.00142016,0.002177556,0.0008967744,0.002682313,0.002060622,0.00140549,0.001564621],"category_scores_gemma":[0.3218424,0.0007283859,0.000983723,0.001210986,0.003221218,0.004142151,0.002028265,0.001791777,0.000243961],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001768502,"about_ca_system_score_gemma":0.001278485,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01399753,"about_ca_topic_score_gemma":0.006477922,"domain_scores_codex":[0.9814036,0.01209702,0.001141187,0.003092121,0.001645532,0.0006205749],"domain_scores_gemma":[0.459901,0.4911904,0.01874441,0.02187336,0.007008241,0.001282693],"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":[0.001439657,0.0001438394,0.3330649,0.0005165003,0.001358898,0.0004904034,0.001315863,0.610016,0.003065899,0.0183648,0.001736436,0.02848672],"study_design_scores_gemma":[0.00007578758,0.0002217773,0.05704153,0.0002047436,0.0002520701,0.0002719107,0.0005362441,0.8926334,0.004039792,0.04360707,0.001009012,0.0001066679],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9036938,0.001185569,0.08927612,0.001158945,0.0000678658,0.00009371572,0.001350469,0.0001942294,0.002979379],"genre_scores_gemma":[0.9925127,0.0001327594,0.00649224,0.00006120608,0.00002347208,0.000017711,0.0005334899,0.00002337029,0.0002030161],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.05854585,"threshold_uncertainty_score":0.3096237,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.6616602038810608,"score_gpt":0.5666239651125994,"score_spread":0.09503623876846146,"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."}}