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Record W4321448765 · doi:10.22517/9789587227918

Manual de microbiología guías prácticas de laboratorio

2022· book· es· W4321448765 on OpenAlexaff
Luz Stella Ramirez Aristizabal, Luisa Fernanda Ospina Ocampo, Ángela María Arango Londoño

Bibliographic record

Venuenot available
Typebook
Languagees
FieldComputer Science
TopicE-Learning and Knowledge Management
Canadian institutionsCanadian Society of Microbiologists
Fundersnot available
KeywordsHumanitiesPhilosophyArt

Abstract

fetched live from OpenAlex

En el momento donde se hace necesario migrar a la virtualidad, surge como una oportunidad de innovación en el laboratorio la creación de un manual no sólo de prácticas académicas, relacionadas con fundamentos generales de microbiología, sino una publicación que implementa metodologías para la solución de casos mediante softwares o simuladores virtuales, que complementan el aprendizaje basado en problemas a la vez que promueve el uso de una segunda lengua. Cada capítulo está compuesto por la fundamentación teórica, el protocolo a seguir en el laboratorio, un resumen gráfico, preguntas relacionadas con la práctica y una actividad interactiva.

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 imitation

Not 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.

metaresearch head score (Codex)0.002
metaresearch head score (Gemma)0.009
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Other · Consensus signal: none
Teacher disagreement score0.113
Threshold uncertainty score0.379

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0020.009
Meta-epidemiology (narrow)0.0020.001
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0040.003
Science and technology studies0.0020.002
Scholarly communication0.0070.004
Open science0.0030.003
Research integrity0.0020.003
Insufficient payload (model declined to judge)0.1130.090

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.

Opus teacher head0.013
GPT teacher head0.264
Teacher spread0.251 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designNot applicable
Domainnot available
GenreOther

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".

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Citations0
Published2022
Admission routes1
Has abstractyes

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