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Record W4383620841 · doi:10.29173/spectrum131

Background, Physiology and Ethics of Artificial Placentas

2023· article· en· W4383620841 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.
venuePublished in a venue whose home country is Canada.

Bibliographic record

VenueSpectrum · 2023
Typearticle
Languageen
FieldMedicine
TopicOrgan Donation and Transplantation
Canadian institutionsUniversity of Alberta
Fundersnot available
KeywordsBeneficenceAutonomyEconomic JusticeBioethicsEthical issuesMedicinePregnancyIntensive care medicinePsychologyEngineering ethicsObstetricsPolitical scienceBiologyEngineeringLaw

Abstract

fetched live from OpenAlex

Preterm birth, referring to a baby being born before 37 weeks of pregnancy, is the leading cause of death in young children and is associated with many complications for the individuals who survive. The current intensive care treatment for preterm infants involves an abundant amount of medical equipment, physiological stressors, and ethical dilemmas. Many of these issues could be improved upon with the use of a fluid-filled sac that mimics the placental environment creating an artificial placenta (AP). 
 This paper explores the history of how animal models were used to test AP devices. The physiological stress that preterm infants experience being removed from a placental environment and being surrounded by life-saving medical equipment is highlighted. The paper also explores potential future uses and procedures involved in APs. It concludes with an exploration of AP bioethical considerations through autonomy, beneficence, nonmaleficence and justice.
 In summary, this paper attempts to compile an overview of AP technology through exploring the background, physiology, and ethical considerations involved.

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)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Bench or experimental · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.631
Threshold uncertainty score0.297

Codex and Gemma teacher scores by category

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

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 head0.047
GPT teacher head0.328
Teacher spread0.281 · 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