Licitación Nº 2/22 : Anfiteatro en el Colegio Nacional – Colegio Nacional “Rafael Hernández”
Bibliographic record
Abstract
Objeto: “Anfiteatro en el Colegio Nacional” – Colegio Nacional “Rafael Hernández”.- Apertura: Dirección General de Construcciones y Mantenimiento, Calle 48 N° 575 Edificio “Sergio Karakachoff” piso 6to.– La Plata, el día 30 de Marzo de 2022 a las 10.00 horas.- Ubicación: Calle Av 1 y calle 49– La Plata.- Presupuesto oficial: PESOS UN MILLON CUATROCIENTOS VEINTINUEVE MIL VEINTE con 00/100.- ($.1.429.020,00).- Plazo de ejecución: SESENTA (60) días corridos.- Consulta de legajos: https://unlp.edu.ar/licitacionesobras http://sedici.unlp.edu.ar/handle/10915/69217 Consultas: licitaciones.spoys@presi.unlp.edu.ar Compra de legajos: Mediante transferencia bancaria, Hasta el día 15 de Marzo de 2022 a las 13.00 horas (según Instrucciones en “ANEXO COVID-19” a las Clausulas Legales Especiales).- Precio del legajo: PESOS UN MIL CUATROCIENTOS TREINTA con 00/100 ($.1.430,00).-
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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 | 0.001 |
| Scholarly communication | 0.004 | 0.002 |
| Open science | 0.001 | 0.003 |
| Research integrity | 0.002 | 0.003 |
| Insufficient payload (model declined to judge) | 0.381 | 0.164 |
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".