Additional file 1 of Prevalence and demographic, substance use, and mental health correlates of fasting among U.S. college students
Bibliographic record
Abstract
Additional file 1: Supplement Table 1. Demographic Characteristics and Descriptive Statistics of College Student Participants from the 2016–2020 Healthy Minds Study (N = 8255) by Gender and Survey Year. Supplement Table 2. Associations between Demographic Correlates and Survey Year and Any Fasting (≥ 1 Times) in the Past Four Weeks by Gender and BMI. Supplement Table 3. Associations between Demographic Correlates and Survey Year and Regular Fasting (≥ 13 Times) in the Past Four Weeks by Gender and BMI. Supplement Fig. 1. Prevalence (%) of Any (≥ 1 Times) and Regular (≥ 13 Times) Fasting in the Past Four Weeks among Participants with Body Mass Index < 25, by Gender and Survey Year. Supplement Fig. 2. Prevalence (%) of Any (≥ 1 Times) and Regular (≥ 13 Times) Fasting in the Past Four Weeks among Participants with Body Mass Index ≥ 25, by Gender and Survey Year. Supplement Table 4. Associations between Any Fasting (≥ 1 Times) and Regular Fasting (≥ 13 Times) in the Past Four Weeks and Substance Use and Mental Health Correlates by Gender and BMI among Participants from the Healthy Minds Study.
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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 | 0.001 | 0.026 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.002 | 0.005 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 0.002 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.760 | 0.095 |
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".