Additional file 1 of Development and internal validation of a model predicting severe maternal morbidity using pre-conception and early pregnancy variables: a population-based study in Ontario, Canada
Bibliographic record
Abstract
Additional file 1: Table S1. Variables used to define cohort entry and exclusion criteria, primary outcome, and variables considered for each clinical prediction model. Table S2. List of countries used to define World region of origin among immigrant women included in the study. Table S3. Adjusted odds ratio of maternal end-organ injury or death arising between 20 weeks’ gestation and up to 42 days after birth, in association with variables measured pre-pregnancy and in the index pregnancy prior to 20 weeks’ gestation. Table S4. Adjusted odds ratio of all-cause maternal death arising between birth and up to 365 days after birth, in association with variables measured pre-pregnancy and in the index pregnancy prior to 20 weeks’ gestation. Table S5. Adjusted odds ratio of maternal end-organ injury or death arising between 20 weeks’ gestation and up to 42 days after birth in association with variables measured in the index pregnancy prior to 20 weeks’ gestation. Table S6. Adjusted odds ratio of maternal end-organ injury or death arising between 20 weeks’ gestation and up to 42 days after birth in association with variables measured in the index pregnancy prior to 20 weeks’ gestation and pre-pregnancy. Table S7. Adjusted odds ratio of maternal end-organ injury or death arising between 20 weeks’ gestation and up to 42 days after birth in association with variables measured in the index pregnancy prior to 20 weeks’ gestation, pre-pregnancy, and in any previous pregnancy. Table S8. Baseline characteristics of the study population, according to missing BMI vs. non-missing BMI. Figure S1. Flow diagram of the creation of the study cohort. Figure S2. Receiver operating characteristic curve showing discrimination of the clinical prediction model for all-cause maternal death. Figure S3. a. Calibration plot of predicted (x-axis) and observed (y-axis) deciles of probability of acute end organ injury or death, entire cohort of 634,290 births. b. Calibration plot of predicted (x-axis) and observed (y-axis) deciles of probability of all-cause maternal death, entire cohort of 634,290 births. c. Calibration plot of predicted (x-axis) and observed (y-axis) deciles of probability of acute end organ injury or death, early index pregnancy factors, sub-cohort of 333,435 births among parous women. d. Calibration plot of predicted (x-axis) and observed (y-axis) deciles of probability of acute end organ injury or death, pre-pregnancy and early index pregnancy factors, sub-cohort of 333,435 births among parous women. e. Calibration plot of predicted (x-axis) and observed (y-axis) deciles of probability of acute end organ injury or death, pre-pregnancy, previous pregnancy, and early index pregnancy factors, sub-cohort of 333,435 births among parous women.
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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 | 0.003 | 0.047 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.002 |
| Bibliometrics | 0.002 | 0.003 |
| Science and technology studies | 0.002 | 0.000 |
| Scholarly communication | 0.002 | 0.001 |
| Open science | 0.003 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.399 | 0.030 |
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".