{"id":"W4293093366","doi":"10.23889/ijpds.v7i3.2095","title":"A large linked data platform to inform the COVID-19 response in British Columbia: The BC COVID-19 Cohort.","year":2022,"lang":"en","type":"article","venue":"International Journal for Population Data Science","topic":"Data-Driven Disease Surveillance","field":"Medicine","cited_by":6,"is_retracted":false,"has_abstract":true,"ca_institutions":"Provincial Health Services Authority; BC Centre for Disease Control","funders":"","keywords":"Pandemic; Public health; Medicine; Coronavirus disease 2019 (COVID-19); Public health surveillance; Population; Health care; Psychological intervention; Epidemiology; Family medicine; Medical emergency; Environmental health; Nursing; Political science","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":[0.007410197,0.000739408,0.0005433,0.003839632,0.002950065,0.003399832,0.002128529,0.0009298628,0.01050699],"category_scores_gemma":[0.02347595,0.0006643565,0.0006074521,0.005878519,0.000664233,0.00154123,0.005798877,0.00174548,0.004915683],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0137034,"about_ca_system_score_gemma":0.03921432,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.8862078,"about_ca_topic_score_gemma":0.9254388,"domain_scores_codex":[0.9963045,0.0009042825,0.0003057592,0.0007302411,0.001248148,0.0005071709],"domain_scores_gemma":[0.976543,0.003397511,0.0009735248,0.004107482,0.009599678,0.005378741],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"observational","study_design_scores_codex":[0.0008831897,0.0002053701,0.1328813,0.0004900864,0.0002513342,0.0005446631,0.00159618,0.001650285,0.001786013,0.004493759,0.7701078,0.08510993],"study_design_scores_gemma":[0.0004963144,0.00009275597,0.1851385,0.001011128,0.0001544562,0.0002710627,0.00296519,0.01052184,0.001558321,0.004497173,0.793061,0.0002322266],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"dataset","genre_gemma":"empirical","genre_scores_codex":[0.0506694,0.001189923,0.009178102,0.01314606,0.0005046023,0.001748249,0.8896669,0.006765824,0.02713081],"genre_scores_gemma":[0.1123654,0.001159416,0.04408062,0.003984962,0.0001475253,0.002736772,0.814512,0.001388921,0.01962443],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.8862078,"threshold_uncertainty_score":0.2289248,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1092281560952904,"score_gpt":0.4249872716149249,"score_spread":0.3157591155196344,"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."}}