Bibliographic record
Abstract
[Objective]An assessment on an efficacy of herbal slim capsule for weight loss in toronto. [Methods]By mean of self — paired analysis,weights,body mass index ( BMI) and waist's changes were compared respectively before and after weight loss.[Results]After observers were make self - paired comparison, theirs weight was reduced 1.73～4.54Kg(P 0.01) respectively.majority were close in 1.82～2.27Kg, medium was 1.59kg;BMI was lowered 0.33～1.73(P 0.01 ) ;the waistline was reduced 2.54 ～ 12.7cm. there was no relationship between waisdine reduce and weight loss ( rs =0.45,P 0.05 ).[Conclusion]The slim capsule is more idealist because its period is only 2 weeks and work well.meanwhile,it is worth of analysis and further study on weight loss,bmi and relation of waistline versus weight loss in the future.
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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 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.003 | 0.000 |
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".