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Record W3201542632 · doi:10.29309/tpmj/2018.25.08.61

ASPHYXIA NEONATORUM;

2018· article· en· W3201542632 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

VenueThe Professional Medical Journal · 2018
Typearticle
Languageen
FieldMedicine
TopicNeonatal and fetal brain pathology
Canadian institutionsDeer Lodge Centre
Fundersnot available
KeywordsAsphyxia NeonatorumMedicineAsphyxiaApgar scoreBirth weightPerinatal asphyxiaPediatricsLow birth weightAnesthesiaObstetricsPregnancy

Abstract

fetched live from OpenAlex

Introduction: Severe hypoxic ischemic organ damage is caused by asphyxia innewborns which can follow fatal outcomes or severe life-long pathologies like renal insufficiency.We wanted to note the frequency of renal derangement in neonates having asphyxia neonatoumin this study. Setting & Period: Department of Pediatrics, Bahawal Victoria Hospital (BVH),Bahawalpur, from 1st January 2017 to 31st June 2017. Materials & Methods: Two hundredand sixty four neonates of both genders with birth asphyxia were included in the study. Mainoutcome was renal derangement in asphyxia neonatorum. Results: Mean weight was 2.54kg with standard deviation 0.50 kg and having mean APGAR score 4.43 with SD 1.66. 0It wasnoted that 189 (71.6%) neonates had Renal derangement in which 109 (57.7%) were males and80 (42.3%) were females with mean of weight was 2.53kg, having mean APGAR score 4.44.Conclusion: Renal derangement is quite common in neonates with birth asphyxia.

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)0.001
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesInsufficient payload (model declined to judge)
Consensus categoriesInsufficient payload (model declined to judge)
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Other design · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.783
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.001
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0070.001

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 head0.016
GPT teacher head0.329
Teacher spread0.313 · 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