Grain Transportation Report, April 11, 2019
Bibliographic record
Abstract
Grain Inspections Up for Third Consecutive WeekFor the week ending April 4, total inspections of grain for export from all major U.S. export regions reached 2.52 million metric tons (mmt).This shows a 1 percent increase from the previous week, a 10 percent decrease from last year, and a 5 percent increase from the 3-year average.Inspections of grain were up for the third consecutive week.The increase in inspections was driven by a 19 percent increase in wheat inspections and a 21 percent increase in soybean inspections.Soybean shipments destined to China rebounded, increasing 45 percent from week to week.Inspections of corn, however, were down 18 percent from the past week.Pacific Northwest (PNW) inspections increased 18 percent from the previous week, while Mississippi Gulf inspections decreased 19 percent. Flooding Continues to Disrupt Barge TrafficOn-going flooding continues to disrupt barge traffic on the major waterways.As of April 11, there are 10 locks on the Upper Mississippi River that are closed due to high water.To ensure safe passage under bridges that span the Mississippi River, barge traffic is restricted to daylight only in several locations on the Lower Mississippi River and in the St. Louis area.American Commercial Barge Line reports river levels at Memphis * The International Convention for the Prevention of Pollution from Ships is also known as the Maritime Pollution or MARPOL Convention.The 0.10 percent limit applies in the four established ECAs: the Baltic Sea area; the North Sea area; the North American area (covering designated coastal areas off the United States and Canada); and the United States Caribbean Sea area (around Puerto Rico and the United States
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.
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 | 0.002 | 0.003 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.002 | 0.000 |
| Scholarly communication | 0.003 | 0.002 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.003 | 0.003 |
| Insufficient payload (model declined to judge) | 0.123 | 0.115 |
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".