Challenges to California???s Ports
Bibliographic record
Abstract
Over past years, container ships have increased the fastest in size more than any other type of ship.Most mega-ships are too big to be handled at current terminals in California.This challenges the efficiency and speed of operation when ships come into port.Consequences: Congestion, delays, and high C02 emission levels. Panama CanalCalifornia is used as a land bridge for ships instead of passing through the Panama Canal because the original locks were too small for current ships.In 2017, new massive locks at the Pacific and Atlantic ocean entrances that will allow advanced ships easier passage.Consequences: Alternate route for ships from East Asia to Europe, diversion of cargo away from California, and lower productivity. Regional PortsShips can choose to avoid the cost of doing business in California.The Port of Lazaro Cardenas & The Port of Manzanillo (Mexico), and Port Prince Rupert (Canada) offer alternate choices that are less costly than ports in California.These ports give an advantage to shippers wanting to reach inland markets or the East Coast of the United States through rail network connections.
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 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 | 0.003 | 0.001 |
| Meta-epidemiology (narrow) | 0.002 | 0.002 |
| Meta-epidemiology (broad) | 0.002 | 0.001 |
| Bibliometrics | 0.002 | 0.002 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.003 | 0.002 |
| Research integrity | 0.003 | 0.009 |
| Insufficient payload (model declined to judge) | 0.019 | 0.077 |
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; both teacher heads agree on what is shown here.
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".