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Successful Obstetric Anesthesia Care in Canada: Moving Beyond Survival

2022· article· en· W4310552007 on OpenAlexaffabout
Wesley Edwards, RB George

Bibliographic record

VenueObstetric Anesthesia Digest · 2022
Typearticle
Languageen
FieldMedicine
TopicCardiac, Anesthesia and Surgical Outcomes
Canadian institutionsUniversity of Ottawa
Fundersnot available
KeywordsMedicineAirway managementCesarean deliveryAirwayObstetric anesthesiaAnesthesiaPregnancySpecialtyIntensive care medicineFamily medicine

Abstract

fetched live from OpenAlex

( Can J Anaesth . 2022;69:18–23) Childbirths are now the most common reason for hospitalization in Canada. Subsequently, cesarean delivery is becoming increasingly more common, representing 30% of all child deliveries. In addition, epidural analgesia now accounts for 60% of operative deliveries. Historically, most studies regarding anesthetic experience of infants and maternal individuals focus on mortality. Fortunately, recent analysis has shown the number of patients dying from anesthesia care has severely decreased, likely due to improvement with specialty training, airway management, airway monitoring, regional anesthesia use, and the standardization of safe practices through analysis and research. In order to improve neonatal and maternal care, the extent, frequency, and risk factors for anesthesia-related incidences must be assessed.

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)0.001
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.270
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0020.001
Bibliometrics0.0010.005
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0010.000
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0010.000

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 head0.010
GPT teacher head0.219
Teacher spread0.210 · 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.

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
Published2022
Admission routes2
Has abstractyes

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