TREND: National Agricultural Statistics Service, United States Department of Agriculture. Agricultural Census: Crops - Vegetables | State: California | Zip Code: 93650, 93701, 93702, 93703, 93704, 93705, 93706, 93710, 93711, 93714, 93720, 93722, 93723, 93725, 93726, 93727, 93728, 93740, 93745, 93790, 93794 | Zip Code Name: FRESNO (93650), FRESNO (93701), FRESNO (93702), FRESNO (93703), FRESNO (93704), FRESNO (93705), FRESNO (93706), FRESNO (93710), FRESNO (93711), FRESNO (93714), FRESNO (93720), FRESNO (93722), FRESNO (93723), FRESNO (93725), FRESNO (93726), FRESNO (93727), FRESNO (93728), FRESNO (93740), FRESNO (93745), FRESNO (93790), FRESNO (93794) | Commodity: VEGETABLE TOTALS | Indicator: VEGETABLE TOTALS, IN THE OPEN - OPERATIONS WITH AREA IN PRODUCTION | Domain Category: NOT SPECIFIED, 2007. Data-Planet™ Statistical Datasets by Conquest Systems, Inc. Dataset-ID: 008-008-011
Bibliographic record
Abstract
National Agricultural Statistics Service, United States Department of Agriculture. Agricultural Census: Crops - Vegetables | State: California | Zip Code: 93650, 93701, 93702, 93703, 93704, 93705, 93706, 93710, 93711, 93714, 93720, 93722, 93723, 93725, 93726, 93727, 93728, 93740, 93745, 93790, 93794 | Zip Code Name: FRESNO (93650), FRESNO (93701), FRESNO (93702), FRESNO (93703), FRESNO (93704), FRESNO (93705), FRESNO (93706), FRESNO (93710), FRESNO (93711), FRESNO (93714), FRESNO (93720), FRESNO (93722), FRESNO (93723), FRESNO (93725), FRESNO (93726), FRESNO (93727), FRESNO (93728), FRESNO (93740), FRESNO (93745), FRESNO (93790), FRESNO (93794) | Commodity: VEGETABLE TOTALS | Indicator: VEGETABLE TOTALS, IN THE OPEN - OPERATIONS WITH AREA IN PRODUCTION | Domain Category: NOT SPECIFIED, 2007. Data-Planet™ Statistical Datasets by Conquest Systems, Inc. Dataset-ID: 008-008-011 Dataset: Reports metrics related to the total value of sales of vegetables made by farm operations in the United States. The numbers of farm operations with sales of vegetables and the acreage in production for vegetables are also reported. The Census of Agriculture, conducted every five years by the National Agricultural Statistics Service (NASS) of the United States Department of Agriculture (USDA) since 1840, provides comprehensive data on the current situation, historical changes, and long-term trends in US agriculture. The Census also collects information on the agricultural industry that is not gathered elsewhere in the annual survey programs conducted by the NASS, including data on areas such as agritourism, organic production, farmer demographics, specialized agricultural production, Internet access and more. Statistics offer a detailed picture of US farms and ranches and the people who operate them. Participation in the Census is required by law, and is the responsibility of every farmer and rancher, regardless of the size or type of operation. For Census purposes, a farm is any place from which $1,000 or more of agricultural products were produced and sold, or normally would have been sold, during the Census year. Data are provided, where available, for the nation, states, counties, and ZIP code. With the 2012 Census of Agriculture, ZIP code tabulations will not be available due to the impact of sequestration, per NASS. https://www.agcensus.usda.gov/ Category: Agriculture and Food Subject: Sales, Vegetables, Farms, Crops, Agricultural Products Source: United States Department of Agriculture The United States Department of Agriculture (USDA) was created by the Agricultural Act of May 15, 1862, signed into law by President Abraham Lincoln. Key activities include: expanding markets for agricultural products and support international economic development; further developing alternative markets for agricultural products and activities; providing financing needed to help expand job opportunities and improve housing, utilities, and infrastructure in rural America; enhancing food safety by taking steps to reduce the prevalence of food-borne hazards; improving nutrition and health by providing food assistance and nutrition education and promotion; and managing and protecting America's public and private lands working cooperatively with other levels of government and the private sector. Major data statistical programs of USDA include the Economic Research Service, the Foreign Agricultural Service, the National Agricultural Statistics Service, and the World Agricultural Outlook Board. http://www.usda.gov/wps/portal/usdahome
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 | 0.022 |
| Meta-epidemiology (narrow) | 0.002 | 0.001 |
| Meta-epidemiology (broad) | 0.002 | 0.001 |
| Bibliometrics | 0.006 | 0.028 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.003 | 0.003 |
| Open science | 0.003 | 0.001 |
| Research integrity | 0.001 | 0.003 |
| Insufficient payload (model declined to judge) | 0.094 | 0.085 |
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".