Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
SE PRESENTAN LOS RESULTADOS DE LA CONCENTRACION POR PESO DE LAS PARTICULAS ATMOSFERICAS RECOLECTADAS CON MUESTREADORES DE BAJOS VOLUMENES EN 16 ESTACIONES DE LA RED DEL MONITOREL RADIOLOGICO AMBIENTAL DE LA CENTRAL NUCLEOELECTRICA LAGUNA VERDE, DURANTE EL PERIODO 1991 A 1993. LOS NIVELES DE CONCENTRACION POR PESO DE LAS PARTICULAS VARIAN EN UN RANGO DE PROMEDIOS ANUALES DE 22.6 UG/M3 0 5.0 UG/M3 A 107.8 UG/M3 0 3.7 UG/M3. ESTA VARIABILIDAD ES EXPLICADA POR LA UBICACION DE LAS ESTACIONES, Y LAS INFLUENCIAS NATURALES ANTROPOGENICAS. NO FUE OBSERVADA VARIABILIDAD SIGNIFICATIVA EN LAS CONCENTRACIONES PROMEDIO A LO LARGO DEL TIEMPO. SE PRESENTAN LOS PRIMEROS RESULTADOS DE LA CARACTERIZACION QUIMICA DEL AEROSOL COSTERO OBTENIDO POR MEDIO DE FLUORESCENCIA DE RAYOS X.
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.
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 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 1.000 | 1.000 |
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.
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