{"id":"W4392001822","doi":"10.3389/fpubh.2024.1248905","title":"Cohort profile: the British Columbia COVID-19 Cohort (BCC19C)—a dynamic, linked population-based cohort","year":2024,"lang":"en","type":"article","venue":"Frontiers in Public Health","topic":"COVID-19 epidemiological studies","field":"Mathematics","cited_by":20,"is_retracted":false,"has_abstract":true,"ca_institutions":"Centre for Advancing Health Outcomes; St. Paul's Hospital; University of British Columbia; Vancouver Coastal Health; Provincial Health Services Authority","funders":"Canadian Institutes of Health Research; Provincial Health Services Authority; British Columbia Centre for Disease Control; Canadian Immunization Research Network; Public Health Agency; Public Health Agency of Canada","keywords":"Cohort; Coronavirus disease 2019 (COVID-19); Medicine; Population; Cohort study; Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2); 2019-20 coronavirus outbreak; Geography; Virology; Outbreak; Environmental health; Disease; Internal medicine; Infectious disease (medical specialty)","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":[0.001691799,0.0005058576,0.0004453254,0.002306749,0.002529185,0.001427225,0.001039705,0.0004290058,0.00834118],"category_scores_gemma":[0.004958414,0.0003473759,0.0004443317,0.00436278,0.000305607,0.0004510962,0.001284556,0.00115741,0.002227965],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.004585002,"about_ca_system_score_gemma":0.01112475,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.7361186,"about_ca_topic_score_gemma":0.8295644,"domain_scores_codex":[0.9986246,0.0001861792,0.000107941,0.0003238525,0.0005239823,0.0002333946],"domain_scores_gemma":[0.9967929,0.0001505431,0.0003203494,0.0004938443,0.001705259,0.000537061],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0009574093,0.00009909715,0.6824555,0.0003998253,0.0002971048,0.0002717995,0.0007578694,0.0004840432,0.001302447,0.00185981,0.2834162,0.02769878],"study_design_scores_gemma":[0.0001802701,0.0001038794,0.8844579,0.0004658026,0.0002123572,0.0003866274,0.0007372159,0.0007493618,0.0005879851,0.0006212813,0.1114335,0.00006376862],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"dataset","genre_gemma":"methods","genre_scores_codex":[0.1984296,0.001021594,0.006369196,0.00218099,0.0002732707,0.00286795,0.7570623,0.0004899448,0.03130509],"genre_scores_gemma":[0.4630589,0.001456704,0.01417552,0.002662078,0.0001988349,0.006561719,0.4840958,0.000485721,0.02730473],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.2638814,"threshold_uncertainty_score":0.5308709,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.09823966964243032,"score_gpt":0.3919860947159129,"score_spread":0.2937464250734826,"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."}}