Supplemental material for "Bioaerosols in Eastern Canadian Dairy Barns Using Tie- and Free-Stall Housing"
Bibliographic record
Abstract
This study characterizes air quality in dairy barns using tie-stalls or free-stalls. Air quality indicators characterized in this study include some microorganisms (molds, bacteria, and archaea), organic dust, and endotoxins. These indicators were quantified in five barns of each type. Microorganism quantification was made using qPCR and respective probes and primers. This document contains a table listing sequences for the used probes and primers as well as the targeted genes. It also contains additional analysis data for comparison between tie-stall barns and free-stall barns air quality. Variation coefficients were calculated to see if concentrations were more variable between the two types of barns. No significant difference was detected. Even though data are expressed in concentrations, emissions per hour were calculated using animal density. Emissions were compared between both types of barns, but no significant difference was detected.
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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 | 0.000 | 0.002 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.002 | 0.003 |
| Science and technology studies | 0.002 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.502 | 0.071 |
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".