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
Notice bibliographique
Résumé
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
Récupéré en direct depuis OpenAlex et désinversé. Les résumés ne sont pas conservés dans cette base de données : les index inversés représentent 8,6 Go des 9,3 Go de texte de la base, et le serveur dispose de 13 Go libres.
Comment cette classification a été obtenuedéplier
Prédiction machine sur la base complète
Imitation des enseignantsNi prévalence calibrée, ni vérité terrain. Validation humaine à venir. Le volet Gemma est une étiquette directe du modèle pour chaque travail de la base, lue sur la notice réduite au titre. Le volet Codex est un classifieur appris des 10 348 étiquettes directes de Codex et calibré sur les taux pondérés de l'échantillon; les champs sans appui suffisant ne portent aucun appel Codex. Le mode candidate est l'union des deux volets; le consensus est leur intersection. Ces sorties portent le statut machine_predicted_unvalidated et ne sont pas des étiquettes humaines.
Scores du classifieur distillé par catégorie (deux têtes)
| Catégorie | Codex | Gemma |
|---|---|---|
| Métarecherche | 0,002 | 0,022 |
| Méta-épidémiologie (sens strict) | 0,002 | 0,001 |
| Méta-épidémiologie (sens large) | 0,002 | 0,001 |
| Bibliométrie | 0,006 | 0,028 |
| Études des sciences et des technologies | 0,001 | 0,000 |
| Communication savante | 0,003 | 0,003 |
| Science ouverte | 0,003 | 0,001 |
| Intégrité de la recherche | 0,001 | 0,003 |
| Charge utile insuffisante (le modèle a refusé de juger) | 0,094 | 0,085 |
Scores machine (provisoires)
Les deux têtes enseignantes du modèle étudiant, lues sur ce travail. Un score ordonne la base pour la relecture; il n'affirme jamais une catégorie, et le statut de validation accompagne chaque rangée tel quel.
Scores de référence d'un modèle non mature (critères de maturité non atteints, 7 itérations). Un score ordonne; il n'affirme jamais une catégorie.
score_only:v0-immature-baseline · tel quel depuis la passe de notation : score_only signifie que le nombre peut ordonner les travaux, et qu'aucune étiquette de catégorie n'en découleClassification
machine, non validéePrédiction automatique; un appel candidat d’une seule source (Gemma direct ou Codex distillé), pas un consensus.
Le détail, modèle par modèle et score par score, se trouve en fin de page sous « Comment cette classification a été obtenue ».