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Record W4285448533 · doi:10.5216/ree.v23.66272

Impacto da doença valvar nas atividades cotidianas de pacientes no período préoperatório

2021· article· pt· W4285448533 on OpenAlex

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

VenueLA Referencia (Red Federada de Repositorios Institucionales de Publicaciones Científicas) · 2021
Typearticle
Languagept
FieldHealth Professions
TopicHealthcare Regulation
Canadian institutionsImpact
Fundersnot available
KeywordsMedicine

Abstract

fetched live from OpenAlex

Objective: to assess the impact of valvular heart disease on the daily life of patients in the preoperative period of heart surgery. Methods: we conducted a descriptive cross-sectional study using consecutive sampling. We used the assessment instrument “Impact of Valvular Heart Disease on the Daily Life of Patients”, consisting of 14 items divided into four domains: “Physical impact - symptoms”, “Impact on activities of daily living”, “Social and emotional impact” and “Adaptation to the disease”. Each domain is scored and an overall score is calculated based on the sum of all items, ranging from 14 to 350. The higher the score, the more negative the perceived impact. Results: 73 patients participated in the study. The domain that obtained the highest mean score was “Impact on activities of daily living” (82.79; SD = 21.35), followed by “Social and emotional impact” (61.24; SD = 22.7). The mean overall score was 210.55 (SD = 51.7). Conclusion: the patients rated the impact of valvular heart disease during the preoperative period of heart surgery as negative.

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)0.003
metaresearch head score (Gemma)0.006
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Science and technology studies, Research integrity, Insufficient payload (model declined to judge)
Consensus categoriesMeta-epidemiology (narrow), Research integrity
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.905
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0030.006
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0020.001
Bibliometrics0.0010.002
Science and technology studies0.0040.000
Scholarly communication0.0010.001
Open science0.0010.001
Research integrity0.0030.004
Insufficient payload (model declined to judge)0.0010.001

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 head0.052
GPT teacher head0.332
Teacher spread0.280 · 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