{"id":"W4221099597","doi":"10.9778/cmajo.20210249","title":"Sporadic SARS-CoV-2 cases at the neighbourhood level in Toronto, Ontario, 2020: a spatial analysis of the early pandemic period","year":2022,"lang":"en","type":"article","venue":"CMAJ Open","topic":"COVID-19 epidemiological studies","field":"Mathematics","cited_by":6,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Guelph; Greo; Public Health Ontario","funders":"","keywords":"Neighbourhood (mathematics); Demography; Confidence interval; Coronavirus disease 2019 (COVID-19); Pandemic; Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2); Medicine; Relative risk; Geography; Population; Epidemiology; Environmental health; Disease; Internal medicine; Infectious disease (medical specialty); Mathematics","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":true,"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":[0.000415125,0.0002819932,0.0002773474,0.0009041736,0.0009662787,0.000622299,0.0005601504,0.0002283675,0.001079636],"category_scores_gemma":[0.001586058,0.0002091976,0.0006787019,0.002261273,0.0004605078,0.0002291962,0.0007450262,0.0002113785,0.0001458693],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.007321603,"about_ca_system_score_gemma":0.005328762,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9480968,"about_ca_topic_score_gemma":0.9600312,"domain_scores_codex":[0.9996533,0.00004971973,0.00002783629,0.00008109192,0.00009534191,0.00009261253],"domain_scores_gemma":[0.9990624,0.00009301118,0.0002940983,0.00007507176,0.0003253581,0.0001501507],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00006764866,0.000005070622,0.9966279,0.00002902507,0.00006242914,0.0001342705,0.0005200432,0.0004822537,0.0002238511,0.00006211018,0.0004064955,0.001378997],"study_design_scores_gemma":[0.0000014612,0.00001087144,0.9986355,0.000007334498,0.00001706547,0.00004398277,0.0005588701,0.0004779028,0.00001452699,0.00001299058,0.0002165687,0.000002833732],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9954568,0.0002921702,0.0002299431,0.0001021561,0.000004288088,0.00001738063,0.003198694,0.000008111576,0.0006904292],"genre_scores_gemma":[0.9980338,0.0001255203,0.000148022,0.00001257439,0.000002638962,0.000009456364,0.001420218,0.000002417501,0.0002453829],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.05190319,"threshold_uncertainty_score":0.1044177,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.260587278562106,"score_gpt":0.4172677459556382,"score_spread":0.1566804673935322,"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."}}