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Record W2164577262 · doi:10.1530/rep.0.1260407

Enzymeimmunoassay of oestradiol, testosterone and progesterone in urine samples from female mice before and after insemination

2003· article· en· W2164577262 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.
fundA Canadian funder is recorded on the work.

Bibliographic record

VenueReproduction · 2003
Typearticle
Languageen
FieldPsychology
TopicNeuroendocrine regulation and behavior
Canadian institutionsBrock UniversityMcMaster University
FundersNatural Sciences and Engineering Research Council of Canada
KeywordsUrineEndocrinologyTestosterone (patch)Internal medicinePregnancyGestationUrinary systemInseminationArtificial inseminationBiologyMedicineAndrology

Abstract

fetched live from OpenAlex

ELISA measurements of 17beta-oestradiol, testosterone and progesterone were determined for urine samples collected non-invasively from female mice. Initial samples were collected during 5 successive days while mature female mice were isolated and cyclic. Subsequently, female mice were inseminated and additional urine samples were collected during days 2-6 after observation of copulatory plugs. Measurements of oestradiol and testosterone showed variance over days within individuals and did not significantly differ in measurements taken before or after insemination. Progesterone concentrations were significantly higher after insemination compared with before mating. In a second sample of inseminated females, urinary progesterone was measured during days 2-18 of pregnancy. Most females showed high urinary progesterone up to day 10 of pregnancy and lower concentrations during the remainder of gestation. These results indicate that urinary progesterone reflects established systemic increases of this hormone during pregnancy.

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: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.098
Threshold uncertainty score0.403

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 head0.023
GPT teacher head0.285
Teacher spread0.263 · 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