{"id":"W3110449658","doi":"10.1186/s13048-020-00734-4","title":"Incidence, clinical features, and outcomes of COVID-19 in Canada: impact of sex and age","year":2020,"lang":"en","type":"article","venue":"Journal of Ovarian Research","topic":"COVID-19 and healthcare impacts","field":"Medicine","cited_by":68,"is_retracted":false,"has_abstract":true,"ca_institutions":"York University","funders":"Natural Sciences and Engineering Research Council of Canada; Canadian Institutes of Health Research; York University","keywords":"Coronavirus disease 2019 (COVID-19); Medicine; Incidence (geometry); 2019-20 coronavirus outbreak; Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2); Reproductive medicine; Pandemic; Demography; Pediatrics; Internal medicine; Virology; Pregnancy; Disease; Biology; Outbreak","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":[0.004065606,0.0000906343,0.0007973545,0.000346281,0.00003459731,0.00001278678,0.0001371312,0.0001047807,0.00006024701],"category_scores_gemma":[0.01108184,0.00006196232,0.0000940701,0.0004339657,0.0001816052,0.00007291593,0.0001033655,0.001153009,1.491554e-7],"about_ca_system_candidate":true,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006207774,"about_ca_system_score_gemma":0.02290464,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.6230082,"about_ca_topic_score_gemma":0.277127,"domain_scores_codex":[0.9973796,0.0004304207,0.0008349132,0.0001418692,0.000921435,0.000291746],"domain_scores_gemma":[0.9958606,0.002138829,0.0002576007,0.0001508103,0.0002499101,0.001342196],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.001463014,0.00006017931,0.983143,0.0004810143,0.000107588,0.001945425,0.001438739,0.000006854328,0.0003690621,0.00004350556,0.007463065,0.003478577],"study_design_scores_gemma":[0.002783925,0.001835267,0.9932163,0.0001290741,0.00001918771,0.0002652656,0.0007920764,0.00004580822,0.00003269138,0.0001657934,0.0006709789,0.00004359353],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9636596,0.0008651486,0.00001268472,0.03510646,0.00003169709,0.0002099866,0.00001890661,0.00000137086,0.00009412399],"genre_scores_gemma":[0.9969426,0.0007970064,0.0002196689,0.00187472,0.0001144204,3.621611e-7,8.663976e-7,0.000008562953,0.00004181898],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3458812,"threshold_uncertainty_score":0.9972482,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.2910020876017513,"score_gpt":0.5592715605305248,"score_spread":0.2682694729287735,"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."}}