{"id":"W3138551466","doi":"10.1101/2021.03.21.21254064","title":"In-person schooling and COVID-19 transmission in Canada’s three largest cities","year":2021,"lang":"en","type":"preprint","venue":"medRxiv","topic":"COVID-19 epidemiological studies","field":"Mathematics","cited_by":8,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université de Montréal","funders":"","keywords":"Coronavirus disease 2019 (COVID-19); Pandemic; Transmission (telecommunications); Limiting; Incidence (geometry); Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2); Public health; Economic growth; Demography; Political science; Geography; Demographic economics; Medicine; Development economics; Sociology; Economics; Nursing; Disease","routes":{"ca_aff":true,"ca_fund":false,"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":[0.000377675,0.0005212454,0.0003758715,0.001501637,0.004251495,0.002238054,0.001620041,0.0005455618,0.00363689],"category_scores_gemma":[0.001920161,0.0003075612,0.0007377054,0.004230776,0.001033573,0.0005204044,0.00165128,0.001185069,0.0003098232],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.04106477,"about_ca_system_score_gemma":0.05501182,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9972222,"about_ca_topic_score_gemma":0.9986128,"domain_scores_codex":[0.9990387,0.0000578859,0.00003696133,0.0001215392,0.0002007816,0.0005441475],"domain_scores_gemma":[0.9959664,0.0001481282,0.0007325094,0.00009648127,0.001493007,0.00156334],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0000749859,0.00005487326,0.9849186,0.00007637485,0.00006832938,0.0001718556,0.001513725,0.0002878643,0.000146201,0.0004345413,0.00529259,0.006960068],"study_design_scores_gemma":[0.000008139967,0.00002108232,0.9922017,0.0001002481,0.00002771557,0.00006104131,0.004294631,0.0003172154,0.00008851828,0.00005964776,0.002801948,0.00001811861],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9789029,0.001325616,0.0002473495,0.002093972,0.00005734927,0.000077697,0.01123728,0.0000366308,0.00602123],"genre_scores_gemma":[0.9950739,0.0006198598,0.0002096224,0.000259061,0.00001266114,0.00002293903,0.002252638,0.00001174107,0.001537573],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.04106477,"threshold_uncertainty_score":0.2979472,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.2263089873199499,"score_gpt":0.3868755288724401,"score_spread":0.1605665415524903,"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."}}