Alberta Childhood COVID-19 Cohort (AB3C) Aim 3: Longitudinal Sero-Epidemiology Study First Interim Report January 31, 2021
Bibliographic record
Abstract
The AB3C study has three primary aims: 1. Establish prospective cohort study of all children in Alberta tested for or diagnosed with confirmed or probable COVID-19 infection. (Funded by Alberta Children’s Hospital Research Institute (ACHRI)) 2. Conduct a detailed multiomic precision-medicine evaluation of some children in Alberta with confirmed or probable COVID-19 infection, as well as some healthy controls. (Funded by Genome Alberta) 3. Evaluation of the adaptive immune response to SARS-CoV-2 virus in children will be conducted measuring the antibody response against COVID-19 in children with and without clinically apparent confirmed or probable COVID-19 infection in a longitudinal sero-epidemiology study over two years. (Funded by Alberta Health and ACHRI) The AB3C study has received research ethics and operational approval from the University of Calgary’s and Alberta Health Services’ Conjoint Health Research Ethics Board (CHREB). This report describes the results of the enrolment and first of four visits for Aim 3.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.002 | 0.005 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.002 | 0.004 |
| Science and technology studies | 0.002 | 0.000 |
| Scholarly communication | 0.002 | 0.000 |
| Open science | 0.003 | 0.001 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.014 | 0.007 |
Machine scores (provisional)
The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.
Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".