La Revista Científica UDO Agrícola de la Escuela de Ingeniería Agronómica de la Universidad de Oriente en su noveno aniversario (2001-2009): I. creación y características principales
Bibliographic record
Abstract
The objective was to present the creation of the Scientific Journal UDO Agrícola, as well as the most important features that\ndefine it: indexing published articles, statutes, author and reviwer instruction. The creation of the Revista Científica UDO\nAgrícola (Scientific Journal UDO Agrícola) was approved by the Consejo de Escuela (School Board) in meeting No 09,\ndated December 14 2000, being its Editors in Chief Profs. Jesús Méndez and Víctor Otahola and an Editorial Committee\ncomposed by Prof. Vicente Arturo Michelena Alegría (Agronomy Department), José Alexander Gil Narín (Agricultural\nEngineering Department) and Jesus Rodriguez (Agricultural Economics and Social Sciences Department). The journal got\nits Legal Deposit (Depósito Legal) and ISSN (International Standard Serial Number) in 2001. The Legal Deposit is\npp200102Mo1203 and ISSN is 1317-9152. The most important indexes of Revista Cientíifca UDO Agrícola are Bioline\nInternational System, Canada; Índice y Biblioteca Electrónica de Revistas Venezolanas de Ciencia y Tecnología\n(REVENCYT); CABI Abstracts Database (Reino Unido); Catálogo de Latindex (México), Scopus (Holanda), Registro\n(Acreditación) de Publicaciones Científicas y Tecnológicas Venezolanas del FONACIT, Base de Datos Periódica\n(México); Directory of Open Access Journals (DOAJ) (Suecia); Difusión de Alertas en la Red (Dialnet) (España) y\nZoological Record (ISI Web of Knowledge), thereby entering the Master Journal List de Thomson Reuters. The Journal has\nstatutes, instructions for publication of papers (Spanish and English) and evaluation sheet of papers (Spanish and English).\nIt also has a cumulative index of articles, cumulative index of topics (key words in Spanish and English), cumulative index\nof authors and cumulative index of referees (reviewers).
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 | 0.006 | 0.011 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.008 | 0.013 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.006 | 0.002 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.014 | 0.007 |
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".