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Record W170307500

Educación en Bioética. Donación y transplante de órganos / Bioethical Education. Organ Procurement and Transplantation

2008· book-chapter· es· W170307500 on OpenAlexaboutno aff
Vários Autores, María Teresa López de la Vieja, Carmen Velayos

Bibliographic record

VenueEdiciones Universidad de Salamanca eBooks · 2008
Typebook-chapter
Languagees
FieldMedicine
TopicEthics and bioethics in healthcare
Canadian institutionsnot available
Fundersnot available
KeywordsBioethicsHumanitiesOrgan procurementMulticulturalismTransplantationPolitical scienceMedicinePhilosophyLawSurgery
DOInot available

Abstract

fetched live from OpenAlex

La Bioetica como disciplina surge en los anos setenta con el objetivo de tender puentes entre especialistas de diferentes areas que se ocupan de un espacio y lenguaje comun: los aspectos tecnicos, medicos, juridicos, sociales y morales, en politicas responsables de donacion y transplante de organos. Un equipo interdisciplinar e internacional, formado por expertos de Francia, Estados Unidos, Suiza, Canada, Malta, Libano, Rumania, Italia y Espana, vinculados al proyecto «Edubioethics» (Bioethical Education in a Multicultural Environment) participan en este volumen.Dimensiones: 24 x 17 (cm).Peso: 0.835 Kg.Numero de Paginas: 336.

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)0.000
metaresearch head score (Gemma)0.001
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Theoretical or conceptual · Consensus signal: none
GenreCandidate signal: Other · Consensus signal: Other
Teacher disagreement score0.023
Threshold uncertainty score0.079

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.001
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.002
Science and technology studies0.0010.003
Scholarly communication0.0020.002
Open science0.0010.001
Research integrity0.0020.003
Insufficient payload (model declined to judge)0.0230.008

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 head0.025
GPT teacher head0.313
Teacher spread0.288 · 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 designTheoretical or conceptual
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".

Quick stats

Citations0
Published2008
Admission routes1
Has abstractyes

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