EFFICACY OF A LIQUID/SOLID ISOLATION SYSTEM FOR SWINE MANURE
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
Researchers at Michigan State University (MSU), Institut de Recherche et de Dveloppement enAgroenvironnement (IRDA) in Qubec, Canada, and Centre de Dveloppement du Porc du Qubec (CDPQ) in Sainte-Foy,Qubec, Canada, collaborated to determine the efficacy of the liquid/solid isolation swine manure handling system installedat MSU. The system utilizes a V-shaped pit floor with an adapted scraper installed beneath the slatted floor of the swine pens.Feces and other solids stick on the pit floor slope and are scraped to a collection point. The liquid including urine runs toa center pipe and is pumped to a holding tank. There were six objectives: determine the efficacy of the system to isolatephosphorus (P) in the collected solid fraction (SF) of manure, determine the efficacy of isolating water in the liquid fraction,determine the total mass of manure produced, measure the ammonia and hydrogen sulfide concentrations in the air in thefacility, determine the P mass balance, and determine pig performance. All objectives were met. Ninety-one percent of theP was in the SF, and the SF had about 66% moisture content. Ninety-seven percent of the P was accounted for. Ammoniaconcentration never exceeded 7.5 ppm, and hydrogen sulfide never reached the minimum detection limit of 0.5 ppm. Averagedaily gain was 0.86 kg, and feed efficiency was 2.53.
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.
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 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 it