stargazer: Well-Formatted Regression and Summary Statistics Tables
Why is this work in the frame?
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
No Canadian affiliation. An affiliation-only frame — the usual design — would never have seen this work. It is one of the works that make the case for inverting the frame.
Machine scores (provisional)
Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.
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.
- Teacher spread
- 0.242 · how far apart the two teachers sit on this one work
- Validation status
score_only:v0-immature-baseline· verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it
Abstract
tables that hold regression analysis results from several models side-by-side, as well as summary statistics.
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.
The record
- Venue
- Topic
- Neural Networks and Applications
- Field
- Computer Science
- Canadian institutions
- —
- Funders
- Masarykova UniverzitaUniversität StuttgartUniversität UlmUniversiteit AntwerpenUniversity of ExeterLunds UniversitetUniversity of Illinois at Urbana-ChampaignToulouse School of EconomicsUniversiteit van AmsterdamUniversität MannheimMcGill UniversityUniversity of Wisconsin-MadisonNorthwestern UniversityHarvard University
- Keywords
- StatisticsRegressionRegression analysisSummary statisticsGeographyMathematics
- Has abstract in OpenAlex
- yes