{"id":"W4200257572","doi":"10.1101/2021.12.06.21267360","title":"Likely community transmission of COVID-19 infections between neighboring, persistent hotspots in Ontario, Canada","year":2021,"lang":"en","type":"preprint","venue":"medRxiv","topic":"Data-Driven Disease Surveillance","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Cytodiagnostics (Canada); Western University","funders":"Ministère de la Défense Nationale","keywords":"Geography; Geospatial analysis; Spatial epidemiology; Cartography; Spatial analysis; Geographic information system; Pandemic; Coronavirus disease 2019 (COVID-19); Epidemiology; Infectious disease (medical specialty); Remote sensing; Medicine; Disease","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004424253,0.0002600815,0.0002444155,0.001260197,0.001883069,0.001292203,0.0007891392,0.0001710267,0.002338894],"category_scores_gemma":[0.001601984,0.0001909544,0.000307332,0.001985555,0.0004928727,0.0002883424,0.0009110316,0.0002109335,0.0001455027],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.02623959,"about_ca_system_score_gemma":0.03381573,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9963,"about_ca_topic_score_gemma":0.9980468,"domain_scores_codex":[0.9995024,0.00004839605,0.00002406084,0.0000958283,0.0001357637,0.0001935176],"domain_scores_gemma":[0.9989647,0.00008415478,0.0002034924,0.00003067845,0.0005312544,0.000185709],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001050525,0.00002261685,0.9732257,0.0001847601,0.00006446371,0.0003539508,0.002600522,0.001373058,0.001060991,0.0005120797,0.00370901,0.01678785],"study_design_scores_gemma":[0.00001116922,0.00002615111,0.9884323,0.0001106939,0.0000349786,0.00009797492,0.005072199,0.001966541,0.0002593121,0.0001084328,0.003860073,0.00002008418],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9821535,0.0007915133,0.001006545,0.0005434029,0.00001948693,0.0001537241,0.008707357,0.00005050083,0.006573999],"genre_scores_gemma":[0.9956671,0.0003358351,0.0009944759,0.00005149732,0.000004079976,0.00003198325,0.001351244,0.000005893387,0.001558003],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02623959,"threshold_uncertainty_score":0.1903824,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05161173135149946,"score_gpt":0.2971147413299203,"score_spread":0.2455030099784208,"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."}}