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Record W4238562765 · doi:10.5753/sbcas.2020.11531

Aplicativo Pallium: Interpretando dados para o auxílio na tomada de decisões paliativas

2020· article· pt· W4238562765 on OpenAlex
R T M Santos, Ilana Concilio

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.

Bibliographic record

Venuenot available
Typearticle
Languagept
FieldMedicine
TopicPalliative and Oncologic Care
Canadian institutionsImpact
Fundersnot available
KeywordsComputer sciencePhilosophyPsychologyNursingMedicine

Abstract

fetched live from OpenAlex

Pallium é um projeto que nasceu de um desafio com a temática de inovação social atrelada ao seu desenvolvimento. O produto em questão consiste em um aplicativo móvel para iOS que analisa e interpreta dados com o intuito de auxiliar a tomada de decisão de uma equipe de cuidados paliativos, fornecendo dados básicos, porém necessários, para o funcionamento mais eficiente em qualquer hospital informatizado. Os pilares da concepção do aplicativo são a melhora da qualidade de vida dos pacientes, melhora do fluxo de trabalho das equipes de cuidados paliativos e uma melhor gestão de recursos das instituições hospitalares.

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.

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)0.002
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Insufficient payload (model declined to judge)
Consensus categoriesInsufficient payload (model declined to judge)
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.574
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.002
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0000.001
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0010.000
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0070.002

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 head0.098
GPT teacher head0.365
Teacher spread0.266 · 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

Quick stats

Citations0
Published2020
Admission routes1
Has abstractyes

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