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Record W437395802 · doi:10.34626/t8gr-3y06

Vascular calcifications in an incident population of peritoneal dialysis patients

2014· dissertation· en· W437395802 on OpenAlexaboutno aff
Iolanda Vieira

Bibliographic record

VenueOpen Repository of the University of Porto (University of Porto) · 2014
Typedissertation
Languageen
FieldMedicine
TopicParathyroid Disorders and Treatments
Canadian institutionsnot available
Fundersnot available
KeywordsPortuguesePopulationSection (typography)Numeral systemIndex (typography)ParagraphOrder (exchange)PermissionComputer scienceLinguisticsMedicineArtificial intelligenceWorld Wide Web

Abstract

fetched live from OpenAlex

Not more than 300 words. Do not use abbreviations. In the case of Portuguese language authors the abstract must also be translated into Portuguese. Key-Words: not more than 6, in alphabetical order, and the terms used (when possible) should be from the Medical Subject Headings list of the Index Medicus. In the case of Portuguese language authors the key-words must also be translated into Portuguese. Text: The order of the text should be as follows: Introduction, Subjects and Methods (any statistical method must be detailed in this section), Results, Discussion, Acknowledgments, References (see below), Tables, Captions and Figures. All pages should be numbered consecutively starting with the title page. Tables: References to tables should be made in order of appearance in the text and should be in Roman numerals in brackets, e.g. (Table II). Each table should be typed on a separate sheet and have a brief heading describing its contents. Figures: References to figures should be made in order of appearance in the text and should be in Arabic numerals in parentheses, e.g. (Fig. 2). If a figure has been published before, the original source must be acknowledged and written permission from the copyright holder must be submitted with the material. Patients shown in photographs should have their identity obscured or the picture must be accompanied by written permission to use the photograph. References: All the references, including those with only electronic sources, should be cited according to the “Vancouver Citation Style” which can be consulted on the Internet at: http://library.vcc.ca/downloads/VCC_VancouverStyleGuide.pdf. References must be numbered consecutively in the order in which they are cited in the text. Each reference should give the name and initials of all authors unless they are more than six, when only the first three should be given followed by et al. Authors’ names should be followed by the title of the article, journal abbreviations according to the style used in Index Medicus, the year of publication, the volume number and the first and last page numbers. References to books should contain the title of the book, followed by place of publi cation, publisher, year, and relevant pages.

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 distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.034
Threshold uncertainty score0.963

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0010.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

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 head0.009
GPT teacher head0.235
Teacher spread0.226 · 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 teacher head, not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designObservational
Domainnot available
GenreEmpirical

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
Published2014
Admission routes1
Has abstractyes

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