Bibliographic record
Abstract
1. OBRAS en CORDOBA; 1.1. Museo Emilio Caraffa;1.2. Museo Provincial de Ciencias Naturales; 1.3. Nuevo Centro Shopping; 1.4. Patio Olmos; 1.5. Centro cultural El Buen Pastor; 1.6. Terminal de ómnibus; 1.7. Nueva terminal de ómnibus; 1.8 .Mediateca Mariano Moreno Villa María; 1.9 Anfiteatro de Villa María; 2. OBRAS INTERNACIONALES; 2.1. Edificio Televisa Chapultepec México; 2.2. Aeropuerto internacional Suvarnabhumi; 2.3. Edificio BMW en Madrid; 2.4. Mediateca de Sendai- Toyo Ito; \n3. OBRAS INTERNACIONALES; 3.1 Museo Soumaya México; 3.2 Centro de Salud Canadá; 3.3 Torre Barcelona; 3.4 Teatro Curve; 3.5 Estaciones de metro en Santiago de Chile; 3.6 Terminal de Carrasco- Uruguay; 4. OBRAS INTERNACIONALES; 4.1 Museo de ciencias naturales- Renzo Piano- San Francisco EEUU; 4.2 Biósfera – Bolla di Renzo Piano- Génova; 4.3 Bigo – Renzo Piano- Génova; 4.4 Terminal Portuaria de Barcelona; 4.5 Ópera de Sidney - Jorn Utzon; 4.6 Escuela FDE; 4.7 Museo de la Viña y el Vino; 4.8 Torre O-14 Dubai ; 5. OBRAS en CÓRDOBA y BUENOS AIRES; 5.1 Centro Cívico Bicentenario Córdoba; 5.2 Banco Ciudad Buenos Aires; 5.3 Estadio Córdoba Mario A. Kempes; 5.4 Archivo Histórico de la Provincia. Córdoba; 5.5 Centro de interpretación científica- Pabellón Cielo y Tierra. Córdoba; 6. OBRAS en EEUU; 6.1 Aeropuerto Internacional de Denver- Fentress Architects; 6.2 Centro de convenciones de Colorado- Fentress Architects; 6.3 Museo de Arte de Denver- Studio Libeskind; 6.4 Parking Structure- Santa Mónica- California- Behnisch Architekten & Studio Jantzen; 6.5 Museo Broad- Los Angeles- Diller Scofidio + Renfro; 6.6 Walt Diseney Concert Hall – Frank Ghery; 6.7 Instituto de Arte de Chicago- Renzo Piano; 7. Bodegas Protos – Richard Roger, Alonso y Balaguer- Valladolid- España; 8. Auditorio temporal en L`Aquila, Renzo Piano; 9. Centro cultural Jean-Marie Tjibaou; 10. Centro Olímpico de Tenis. Madrid- España; 11. Escenarios deportivos en Medellin. Colombia; 12. Estación de Bomberos Ave Fénix - México; 13. Fábrica de relojes - Suiza; 14. Gimnasio Maravillas. Alejandro de la Sota – Madrid- España; 15. HABITAT 67 - Moshe Safdie – Montreal- Canadá; 16. Museo Guggenheim – Frank Gehry- Bilbao; 17. Museo Le May. Large Architecture- Washington. EEUU; \n18. Badeschiff/ Wilk-Salinas Architekten con Thomas Freiwald- Berlín - Alemania.
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 | 0.006 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.012 | 0.024 |
| Science and technology studies | 0.005 | 0.002 |
| Scholarly communication | 0.006 | 0.002 |
| Open science | 0.001 | 0.003 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.133 | 0.023 |
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".