{"id":"W3013266235","doi":"10.1101/2020.03.22.20041145","title":"Global transmission network of SARS-CoV-2: from outbreak to pandemic","year":2020,"lang":"en","type":"preprint","venue":"medRxiv","topic":"COVID-19 epidemiological studies","field":"Mathematics","cited_by":32,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Pandemic; Outbreak; Coronavirus disease 2019 (COVID-19); Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2); Transmission (telecommunications); 2019-20 coronavirus outbreak; Virology; Geography; Computer science; Medicine; Telecommunications; Infectious disease (medical specialty); Disease","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000476483,0.0002431909,0.0002031422,0.001451702,0.0002778932,0.0006264025,0.0003215561,0.0003023694,0.001363858],"category_scores_gemma":[0.00194187,0.0001469106,0.0004280752,0.0009741343,0.0003241567,0.001081861,0.000458649,0.0003058944,0.0001610515],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005172557,"about_ca_system_score_gemma":0.0003731,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005532708,"about_ca_topic_score_gemma":0.005216161,"domain_scores_codex":[0.9998195,0.00004494842,0.00001046744,0.00007649361,0.0000278047,0.00002087965],"domain_scores_gemma":[0.9993818,0.0002402308,0.0001825144,0.00005658586,0.00009809831,0.00004083984],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0002358082,0.00008298229,0.6806431,0.0002178498,0.00025785,0.0007573909,0.0009842139,0.2511087,0.006976863,0.009056763,0.002642768,0.04703568],"study_design_scores_gemma":[0.00001921211,0.0001144345,0.3047499,0.00007311395,0.0001901996,0.0008028508,0.001325413,0.6695055,0.00177915,0.0174847,0.003908003,0.00004750103],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.966,0.0004619795,0.02917186,0.0003661408,0.00001396587,0.00005097486,0.001595216,0.0001281043,0.002211844],"genre_scores_gemma":[0.9920667,0.0002517042,0.006066759,0.00002821886,0.000008827877,0.00002574247,0.001231037,0.00001383939,0.0003070196],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.005532708,"threshold_uncertainty_score":0.01100099,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.3211341208727154,"score_gpt":0.4396030541142456,"score_spread":0.1184689332415302,"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."}}