European College of Equine Internal Medicine Congress 2016 Abstracts
Bibliographic record
Abstract
CathcartExhaled carbon monoxide as a marker for lower airway inflammation in thoroughbred racehorses 13.45-14.00Hermange Cytology of bilateral bronchoalveolar lavage fluids: comparison of pooled and individual samples 14.00-14.15Losada-Floriano Evaluation of the predictive value of the external laryngeal ultrasound in detecting equine upper airway disease 14.15-14.30Barba In vitro cytokine production in response to equine influenza virus and Streptococcus equi subspecies zooepidemicus Friday 15.00-16.3015.00-15.15Medina-Torres Immune response to intranasal modified-life EHV-1 vaccination in immunised equids 15.15-15.30Banse Impact of phenylbutazone on gastric glandular prostaglandin concentration and ulcer score 15.30-15.45Westermann Evaluation of a blood sucrose test for the assessment of gastric ulcers in warmblood horses aimed at field conditions 15.45-16.00Khan Evaluation of the rectal route of fluid administration in horses 16.00-16.15Bakos Effects of fasting on serum concentrations of lipid mobilisation and hepatic parameters in horses 16.15-16.30Kolk Acylcarnitine profile in endurance horses with and without metabolic dysfunction Lecture Hall Fennia 1 Saturday 13.45-14.4513.45-14.00Cudmore Blood culture isolates and antimicrobial sensitivities from 863 critically ill neonatal foals (2005-2014) 14.00-14.15Theelen Differences in prevalence and susceptibility patterns of bacteria isolated from foals with sepsis cultured at hospital admission and after >48 h of hospitalization: 1990-2015
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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 | 0.001 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 0.001 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.002 | 0.001 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.178 | 0.055 |
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".