Survey of Saskatchewan beef cattle producers regarding management practices and veterinary service usage.
Bibliographic record
Abstract
Saskatchewan cow-calf producers (n = 2000) were surveyed to determine what factors were associated with their uptake of veterinary services; how and where they access nutritional information and animal health advice; and whether they were comfortable with having non-veterinarians perform veterinary procedures. The survey response rate was 18.1%. Veterinarians were seen as a primary source of nutritional information and animal health advice. Over the past decade producers have shifted their veterinary service usage from individual animal events to herd-level procedures. Producers who pregnancy check were more likely to be large producers (OR = 1.9; 95% CI = 1.2 to 3.1; P = 0.007), to semen test their bulls (OR = 3.4; 95% CI = 2.0 to 5.8: P < 0.001), analyze their forages (OR = 2.3; 95% CI = 1.7 to 4.0; P = 0.006), and to farm in the brown versus the gray or dark brown soil zones (P = 0.004). Most (94.0%) respondents had adequate veterinary services within an hour's drive of the farm and 90.4% were satisfied with their veterinary service provider. Approximately 25% of respondents would be comfortable with having a non-veterinarian pregnancy check and attend to prolapses.
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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) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.002 |
| 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) | 0.004 | 0.001 |
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".