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Record W4394130400 · doi:10.6084/m9.figshare.22257511

Phineas Gage Syndrome A systematic review of literature

2023· review· en· W4394130400 on OpenAlexaboutno aff
Jhoselyn Cuchiparte, Pamela Lizbeth Mena Jaramillo, María Eugenia Vera, Gabriela Macarena Gallardo Salazar, Alexander Joshua Quevedo Cevallos, Danny Raúl Zúñiga Carrasco

Bibliographic record

VenueFigshare · 2023
Typereview
Languageen
FieldMedicine
TopicCerebral Venous Sinus Thrombosis
Canadian institutionsnot available
Fundersnot available
KeywordsLibrary scienceComputer science

Abstract

fetched live from OpenAlex

Context: Phineas Gage syndrome refers to the set of alterations of various kinds and severity, product of lesions in the cortex of the frontal lobe and its connections with the limbic system where rationality and emotions respectively occur, with which no optimal decisions can be made, along with this they will suffer from uninhibited, impulsive and in certain cases antisocial behavior. The damage of said areas or their underlying circuits lead to the development of greater problems in the behavior and personality of the affected person, without presenting serious problems in communication or the memory of the subject, the subjects who present this syndrome show little initiative and abandon the tasks that are being carried out without meeting the objectives. Gage's case is considered the first to have scientific evidence that frontal lobe damage alters personality and can be affected through focal physical changes in the brain, altering mood and social interactions. Prior to this event, the frontal lobe was considered a silent, nonfunctional structure unrelated to human behavior. Materials and methods: We follow the PRISMA methodology, a systematic search was performed on PubMed, Biblioteca Virtual de Salud, Science Direct, World Wide Science, SCIELO, taking into consideration biomedical literature about Phineas Gage Syndrome in English, Spanish and Portuguese published up to February 23, th 2023. The inclusion and exclusion criteria were created using a PICOS framework. The search contained the following terms: Phineas Gage Syndrome, Síndrome de Phineas Gage, Phineas Gage. In each database, an input contained terms as Phineas Gage. Titles and abstracts of all studies were independently reviewed by five investigators using the Rayyan web tool and discrepancies were resolved through reviewer discussion and consensus. A total of 900 unique citations were initially retrieved. The review process in this review is detailed by the PRISMA flow diagram in Figure 1. We identified and include 258 citations as potentially relevant. 235 publications were excluded. We included 23 publications. A list of publications are included in Additional material. Biomedical literature from the United States of America were most common, followed by Australia, Canada and France.

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)0.004
metaresearch head score (Gemma)0.022
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Systematic review · Consensus signal: Systematic review
GenreCandidate signal: Review · Consensus signal: Review
Teacher disagreement score0.021
Threshold uncertainty score0.025

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0040.022
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0060.004
Bibliometrics0.0210.021
Science and technology studies0.0010.001
Scholarly communication0.0020.003
Open science0.0020.002
Research integrity0.0020.001
Insufficient payload (model declined to judge)0.0080.000

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 head0.108
GPT teacher head0.367
Teacher spread0.260 · 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 designSystematic review
Domainnot available
GenreReview

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
Published2023
Admission routes1
Has abstractyes

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