Bibliographic record
Abstract
Getting Organized\nCorner On The Market\nIn The Interest of Woman\nFaces In Business\nClose Up\nComputer/Software\nLaw\nManaging\nSecond Page One\nWine Review\nRestaurant Review\nExecutive Time Out\nNegotiation Strategies Of The Pros\nEight Simple: Steps To People-Building Philosophies\nLocation! Location! Location!\nLocal Celebrities Spotted Throughout Riverside\nDesert Orthopedic Center Acupuncturist Diedre Braun M.S., L.Ac. Named to EMC Medical Staff\nCare Connexxus Adult Day Services Receives Grant For The Community Foundation\nManagement Professor Receives Second Fulbright Award\nSeven County Regional Occupational Program Students Receives Medals\nFirst Patient To Sue HMO Under 2001 Law Tells Of Being Denied Access To Care And To Court\nRoger Hatch Construction Moves Corporate Headquarters To Palm Desert\nAmerican Mortgage Network Expands Operations In Ontario\nThe New Cancer Drug Market\nChamber Identifies Job Killer Legislation\nSmith/Nunez Named To Coldwell Banker Commercial Circle Of Distinction\nCapstone Advisors Provides Funding For Murrieta Master Planned Community\nBusiness And Immigration – The Growing Synergy\nBridge The Gap Between Residential And Commercial Real Estate Sales\nHeritage Palms Announces New Staff Appointments\nIndian Wells Honored For City Web Site\nPalm Springs Life Publishing Legend Receives California Lifetime Achievement Award
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 imitationNot 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.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.408 | 0.009 |
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; both teacher heads agree on what is shown here.
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".