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Record W6926034936 · doi:10.21949/1520468

Commodity Flow Survey 2002 [supporting datasets]

2021· dataset· en· W6926034936 on OpenAlexaboutno aff

Bibliographic record

VenueROSA P · 2021
Typedataset
Languageen
FieldBiochemistry, Genetics and Molecular Biology
TopicInfections and bacterial resistance
Canadian institutionsnot available
Fundersnot available
KeywordsMetropolitan areaCommodityRemainderInvestment (military)CensusGeneral partnershipTruckService (business)

Abstract

fetched live from OpenAlex

The Commodity Flow Survey (CFS), a component of the Economic Census, is conducted every five years by the U.S. Census Bureau in partnership with the U.S. Department of Transportation’s Bureau of Transportation Statistics. The 2002 CFS is the third survey in the program that began in 1993. The CFS is a shipper survey of approximately 100,000 establishments from the industries of mining, manufacturing, wholesale trade, auxiliaries (i.e. warehouses and distribution centers), and select retail and service trade industries that ship commodities. Data requested by the CFS includes the type of commodities shipped, their origin and destination, their value and weight, and mode(s) of transport. The CFS provides a comprehensive multimodal picture of national freight flows and represents the only publicly available source of data for the highway mode. Results from the CFS are used to analyze trends in the movement of goods, mapping spatial patterns of commodity and vehicle flows, forecasting demands for the movement of goods, and for guiding management and investment decisions on transportation infrastructure. The CFS covers 5 areas: the whole of the United States; individual states; exports; hazardous materials; and, metropolitan areas. The metropolitan areas covered in the survey are: Birmingham-Hoover-Cullman, AL CSA, Remainder of Alabama, Phoenix-Mesa-Scottsdale, AZ MeSA, Tucson, AZ MeSA, Remainder of Arizona, Los Angeles-Long Beach-Riverside, CA CSA, San Diego-Carlsbad-San Marcos, CA MeSA, Sacramento--Arden-Arcade--Truckee, CA-NV CSA (CA Part), San Jose-San Francisco-Oakland, CA CSA, Remainder of California, Denver-Aurora-Boulder, CO CSA, Remainder of Colorado, New York-Newark-Bridgeport, NY-NJ-CT-PA CSA (CT Part), Remainder of Connecticut, Washington-Arlington-Alexandria, DC-VA-MD-WV MeSA (DC Part), Jacksonville, FL MeSA, Miami-Fort Lauderdale-Miami Beach, FL MeSA, Orlando-The Villages, FL CSA, Tampa-St Petersburg-Clearwater, FL MeSA, Remainder of Florida, Atlanta-Sandy Springs-Gainesville, GA-AL CSA (GA Part), Remainder of Georgia, Honolulu, HI MeSA, Remainder of Hawaii, Chicago-Naperville-Michigan City, IL-IN-WI CSA (IL Part), St Louis, MO-IL MeSA (IL Part), Remainder of Illinois, Chicago-Naperville-Michigan City, IL-IN-WI CSA (IN Part), Indianapolis-Anderson-Columbus, IN CSA, Remainder of Indiana, Kansas City, MO-KS MeSA (KS Part), Remainder of Kansas, Louisville-Elizabethtown-Scottsburg, KY-IN CSA (KY Part), Remainder of Kentucky, New Orleans-Metairie-Bogalusa, LA CSA, Remainder of Louisiana, Baltimore-Towson, MD MeSA, Washington-Arlington-Alexandria, DC-VA-MD-WV MeSA (MD Part), Remainder of Maryland, Boston-Worcester-Manchester, MA-NH CSA (MA Part), Remainder of Massachusetts, Detroit-Warren-Flint, MI CSA, Grand Rapids-Wyoming-Holland, MI CSA, Remainder of Michigan, Minneapolis-St Paul-St Cloud, MN-WI CSA (MN Part), Remainder of Minnesota, Kansas City, MO-KS MeSA (MO Part),St Louis-St Charles-Farmington, MO-IL CSA (MO Part), Remainder of Missouri, Las Vegas-Paradise-Pahrump, NV CSA, Remainder of Nevada, New York-Newark-Bridgeport, NY-NJ-CT-PA CSA (NJ Part), Philadelphia-Camden-Vineland, PA-NJ-DE-MD CSA (NJ Part), Remainder of New Jersey, Albany-Schenectady-Amsterdam, NY CSA, Buffalo-Cheektowaga-Tonawanda, NY MeSA, New York-Newark-Bridgeport, NY-NJ-CT-PA CSA (NY Part), Rochester-Batavia-Seneca Falls, NY CSA, Remainder of New York, Charlotte-Gastonia-Salisbury, NC-SC CSA (NC Part), Greensboro--Winston-Salem--High Point, NC CSA, Raleigh-Durham-Cary, NC CSA, Remainder of North Carolina, Cincinnati-Middletown-Wilmington, OH-KY-IN CSA (OH Part), Cleveland-Akron-Elyria, OH CSA, Columbus-Marion-Chillicothe, OH CSA, Dayton-Springfield-Greenville, OH CSA, Remainder of Ohio, Oklahoma City-Shawnee, OK CSA, Tulsa-Bartlesville, OK CSA, Remainder of Oklahoma, Portland-Vancouver-Beaverton, OR-WA MeSA (OR Part), Remainder of Oregon, Philadelphia-Camden-Vineland, PA-NJ-DE-MD CSA (PA Part), Pittsburgh-New Castle, PA CSA, Remainder of Pennsylvania, Greenville-Anderson-Seneca, SC CSA, Spartanburg-Gaffney-Union, SC CSA, Remainder of South Carolina, Memphis, TN-MS-AR MeSA (TN Part), Nashville-Davidson--Murfreesboro--Columbia, TN CSA, Remainder of Tennessee, Austin-Round Rock, TX MeSA, Dallas-Fort Worth, TX CSA, Houston-Baytown-Huntsville, TX CSA, San Antonio, TX MeSA, Remainder of Texas, Salt Lake City-Ogden-Clearfield, UT CSA, Remainder of Utah, Richmond, VA MeSA, Virginia Beach-Norfolk-Newport News, VA-NC MeSA (VA Part), Washington-Baltimore-Northern Virginia, DC-MD-VA-WV CSA (VA Part), Remainder of Virginia, Seattle-Tacoma-Olympia, WA CSA, Remainder of Washington, Milwaukee-Racine-Waukesha, WI CSA, Remainder of Wisconsin.

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 imitation

Not 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.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Dataset · Consensus signal: Dataset
Teacher disagreement score0.004
Threshold uncertainty score0.975

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0010.000

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.

Opus teacher head0.017
GPT teacher head0.286
Teacher spread0.270 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one teacher head, not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designNot applicable
Domainnot available
GenreDataset

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".

Quick stats

Citations0
Published2021
Admission routes1
Has abstractyes

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