Bibliographic record
Abstract
Getting Organized Corner On The Market In The Interest of Woman Faces In Business Close Up Computer/Software Law Managing Second Page One Wine Review Restaurant Review Executive Time Out Negotiation Strategies Of The Pros Eight Simple: Steps To People-Building Philosophies Location! Location! Location! Local Celebrities Spotted Throughout Riverside Desert Orthopedic Center Acupuncturist Diedre Braun M.S., L.Ac. Named to EMC Medical Staff Care Connexxus Adult Day Services Receives Grant For The Community Foundation Management Professor Receives Second Fulbright Award Seven County Regional Occupational Program Students Receives Medals First Patient To Sue HMO Under 2001 Law Tells Of Being Denied Access To Care And To Court Roger Hatch Construction Moves Corporate Headquarters To Palm Desert American Mortgage Network Expands Operations In Ontario The New Cancer Drug Market Chamber Identifies Job Killer Legislation Smith/Nunez Named To Coldwell Banker Commercial Circle Of Distinction Capstone Advisors Provides Funding For Murrieta Master Planned Community Business And Immigration – The Growing Synergy Bridge The Gap Between Residential And Commercial Real Estate Sales Heritage Palms Announces New Staff Appointments Indian Wells Honored For City Web Site Palm 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 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 | 0.001 | 0.002 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.002 | 0.000 |
| Scholarly communication | 0.006 | 0.002 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.002 | 0.002 |
| Insufficient payload (model declined to judge) | 0.700 | 0.574 |
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".