{"id":"W3024457609","doi":"10.1016/j.ijid.2020.05.046","title":"Tracking the origin of early COVID-19 cases in Canada","year":2020,"lang":"en","type":"article","venue":"International Journal of Infectious Diseases","topic":"COVID-19 epidemiological studies","field":"Mathematics","cited_by":22,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University; Université de Montréal; McGill University Health Centre","funders":"Canadian Institutes of Health Research","keywords":"Coronavirus disease 2019 (COVID-19); China; Outbreak; Pandemic; Geography; 2019-20 coronavirus outbreak; Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2); Tracking (education); Demography; Disease; Medicine; Virology; Infectious disease (medical specialty); Sociology; Archaeology","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":true,"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":[0.0002815718,0.000110822,0.0003229151,0.00007130406,0.00004591213,0.00002168368,0.0003888499,0.00002182232,0.0001372062],"category_scores_gemma":[0.02746846,0.00007041357,0.0001534224,0.0001571296,0.00007046736,0.0001046151,0.00008359072,0.0001887477,0.000001216043],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008101257,"about_ca_system_score_gemma":0.001370515,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.28855,"about_ca_topic_score_gemma":0.2868054,"domain_scores_codex":[0.9984207,0.0001724856,0.0006759152,0.0001040734,0.0005009116,0.0001259033],"domain_scores_gemma":[0.992842,0.005986736,0.000598389,0.00007259008,0.0003241479,0.0001761647],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001646037,0.0001051097,0.98639,0.00004766334,0.0002255662,0.0005583649,0.0004517006,0.002179477,0.00002463289,0.002701975,0.006084764,0.00106613],"study_design_scores_gemma":[0.003089183,0.0006776329,0.8834478,0.0002727685,0.0002530214,0.0004348258,0.001605527,0.0004906297,0.000173319,0.09136873,0.0177762,0.0004103974],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9860815,0.0004507558,0.001151075,0.01171124,0.0003254967,0.00009478303,0.00006551953,0.000013144,0.0001064486],"genre_scores_gemma":[0.9949815,0.000106938,0.00004667943,0.004583306,0.0002653754,0.000004160698,7.432854e-7,0.000007471741,0.000003774601],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1029422,"threshold_uncertainty_score":0.9807236,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1871715937725829,"score_gpt":0.4190724586753093,"score_spread":0.2319008649027265,"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."}}