Negotiating for a Grain Elevator Purchase: Valuations of Willingness to Buy and Willingness to Sell
Bibliographic record
Abstract
North America Small Grains Trading Company (NASGTC) is a North American grain trading company investigating grain elevator location prospects to expand their grain origination territory. In 2021, NASGTC purchased grain at a premium from third-party suppliers or country elevators in North America to fill their terminal space at various locations or directly ship to their small grain (defined as oat, hard red spring wheat, rye, durum, and canola) end-user customers with a focus on identity-preservation to help support consumer label claims. Since its founding in 2013, NASGTC has operated terminal elevators efficiently without any origination locations. The NASGTC is in initial diligence to acquire the assets of a Canadian grain elevator to originate additional oats. The objective of this case study is to determine whether it is economically feasible to acquire a grain elevator to own more of the margin in the oat supply chain.
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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 | 0.004 | 0.022 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.002 |
| Scholarly communication | 0.005 | 0.005 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.002 | 0.003 |
| Insufficient payload (model declined to judge) | 0.016 | 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".