Comments on the book Fluid, Electrolyte and Acid-Base Physiology
Bibliographic record
Abstract
Nos dirigimos a Ud. y a los lectores de la Revista Virtual de SPMI para enviarle algunos comentarios sobre el libro Fluid, Electrolyte and Acid-Base Physiology, 5 th Edition, Elsevier, Philadelphia, USA, 2017. A Problem-Based Approach. Kamel & Halperin. Los autores de la quinta edicion del libro son Kamel S. Kamel, MD, FRCPC, Professor, Department of Medicine, St Michael’s Hospital, University of Toronto, Canada y Mitchell L. Halperin, MD, FRCPC, Renal Division, St. Michael's Hospital; Emeritus Professor of Medicine, University of Toronto, Canada. La edicion impresa de Elsevier, Philadelphia, US, cuenta con mas de quinientas paginas, en cuya edicion colaboraron varios especialistas en produccion de textos. A mas del formato en papel, tan practico y eficiente, el libro ofrece varias alternativas para acceso online, a traves de telefonos inteligentes, tabletas y computadoras, facilitando la consulta de la obra desde cualquier lugar donde se encuentre el lector. La suma de la calidad cientifica de los autores y el preciso trabajo de los diagramadores dan como resultado un libro de excelente contenido y presentacion, que comienza con las unidades de interconversion de las medidas convencionales a las del International System of Units (SI units) y viceversa. Siguen luego los contenidos por secciones, el listado de los casos analizados y, finalmente, los ilustrativos organigramas. Los temas seleccionados para el indice tematico del final del libro nos parecen muy adecuados para las necesidades del medico y permiten ubicar rapida e independientemente, los temas desarrollados, las figuras (f), las tablas (t) y las notas al margen (b). De esta forma, el lector puede ubicar prontamente la informacion pertinente al problema concreto de un paciente, analizando los graficos y los algoritmos distribuidos a lo largo del texto.
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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 | 0.004 | 0.028 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.002 | 0.002 |
| Science and technology studies | 0.002 | 0.002 |
| Scholarly communication | 0.003 | 0.005 |
| Open science | 0.002 | 0.002 |
| Research integrity | 0.007 | 0.008 |
| Insufficient payload (model declined to judge) | 0.117 | 0.064 |
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".