TREND: Zillow. Zillow Real Estate Metrics: Median Rental Price - All Homes | State: Colorado | Zip Code: 80010, 80011, 80012, 80013, 80014, 80015, 80016, 80017, 80018, 80019, 80202, 80203, 80204, 80205, 80206, 80207, 80209, 80210, 80211, 80212, 80214, 80215, 80216, 80218, 80219, 80220, 80221, 80222, 80223, 80224, 80226, 80227, 80228, 80229, 80230, 80231, 80232, 80233, 80234, 80235, 80236, 80237, 80238, 80239, 80241, 80246, 80247, 80249, 80260 | Zip Code Name: AURORA (80010), AURORA (80011), AURORA (80012), AURORA (80013), AURORA (80014), AURORA (80015), AURORA (80016), AURORA (80017), AURORA (80018), AURORA (80019), DENVER (80202), DENVER (80203), DENVER (80204), DENVER (80205), DENVER (80206), DENVER (80207), DENVER (80209), DENVER (80210), DENVER (80211), DENVER (80212), DENVER (80214), DENVER (80215), DENVER (80216), DENVER (80218), DENVER (80219), DENVER (80220), DENVER (80221), DENVER (80222), DENVER (80223), DENVER (80224), DENVER (80226), DENVER (80227), DENVER (80228), DENVER (80229), DENVER (80230), DENVER (80231), DENVER (80232), DENVER (80233), DENVER (80234), DENVER (80235), DENVER (80236), DENVER (80237), DENVER (80238), DENVER (80239), DENVER (80241), DENVER (80246), DENVER (80247), DENVER (80249), DENVER (80260), 11/2010 - 01/2015. Data-Planet™ Statistical Datasets by Conquest Systems, Inc. Dataset-ID: 068-001-013
Bibliographic record
Abstract
Zillow. Zillow Real Estate Metrics: Median Rental Price - All Homes | State: Colorado | Zip Code: 80010, 80011, 80012, 80013, 80014, 80015, 80016, 80017, 80018, 80019, 80202, 80203, 80204, 80205, 80206, 80207, 80209, 80210, 80211, 80212, 80214, 80215, 80216, 80218, 80219, 80220, 80221, 80222, 80223, 80224, 80226, 80227, 80228, 80229, 80230, 80231, 80232, 80233, 80234, 80235, 80236, 80237, 80238, 80239, 80241, 80246, 80247, 80249, 80260 | Zip Code Name: AURORA (80010), AURORA (80011), AURORA (80012), AURORA (80013), AURORA (80014), AURORA (80015), AURORA (80016), AURORA (80017), AURORA (80018), AURORA (80019), DENVER (80202), DENVER (80203), DENVER (80204), DENVER (80205), DENVER (80206), DENVER (80207), DENVER (80209), DENVER (80210), DENVER (80211), DENVER (80212), DENVER (80214), DENVER (80215), DENVER (80216), DENVER (80218), DENVER (80219), DENVER (80220), DENVER (80221), DENVER (80222), DENVER (80223), DENVER (80224), DENVER (80226), DENVER (80227), DENVER (80228), DENVER (80229), DENVER (80230), DENVER (80231), DENVER (80232), DENVER (80233), DENVER (80234), DENVER (80235), DENVER (80236), DENVER (80237), DENVER (80238), DENVER (80239), DENVER (80241), DENVER (80246), DENVER (80247), DENVER (80249), DENVER (80260), 11/2010 - 01/2015. Data-Planet™ Statistical Datasets by Conquest Systems, Inc. Dataset-ID: 068-001-013 Dataset: Presents the median of Zillow's estimated monthly rent price of rental properties in the United States by geographic area. The estimated market value (termed a Zestimate®) is computed using a proprietary formula. Zillow® real estate metrics are based on its database of more than 100 million homes in the United States, including homes for sale, homes for rent and homes not currently on the market. Included in the dataset are estimated market value of homes and estimated prices of monthly rents, termed Zestimates®. All valuations are based on public records and user-submitted data and are calculated using a proprietary formula that takes into account property physical attributes, tax assessments, and prior and current transactions. Also included in the dataset are counts of homes for rent and for sale, list and sales prices, and metrics related to foreclosures. The accuracy of Zillow metrics is dependent on the data received; estimates of accuracy for major metropolitan areas can be found at http://www.zillow.com/howto/DataCoverageZestimateAccuracy.htm . The data included in Data-Planet are provided courtesy of Zillow® Real Estate Research. http://www.zillowblog.com/research/data/#bulk Category: Housing and Construction Subject: Rental Housing, Rents, Rental (Real Estate) Source: Zillow Zillow is a home and real estate marketplace launched in 2006 that aims to assist homeowners, home buyers, sellers, renters, real estate agents, mortgage professionals, landlords and property managers locate and share information about homes, real estate and mortgages. Zillow uses a priority formula to estimate home and rental housing market value, termed a Zestimate, using its database of over 110 million homes in the United States. The Zestimate is calculated from public and user submitted data. http://www.zillow.com/
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 | 0.000 | 0.002 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.002 | 0.005 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.003 | 0.002 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.273 | 0.182 |
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".