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Record W4394390762 · doi:10.6084/m9.figshare.12799072

Additional file 1 of Transcriptomics of cumulus cells – a window into oocyte maturation in humans

2020· dataset· en· W4394390762 on OpenAlexaff
Brandon A. Wyse, Noga Fuchs Weizman, Seth Kadish, Hanna Bałakier, Mugundhine Sangaralingam, Clifford Librach

Bibliographic record

VenueFigshare · 2020
Typedataset
Languageen
FieldMedicine
TopicReproductive Biology and Fertility
Canadian institutionsWomen's College HospitalUniversity of TorontoCReATe Fertility Centre
Fundersnot available
KeywordsOocyteWindow (computing)BiologyTranscriptomeComputer scienceOperating systemCell biologyGeneticsGeneEmbryoGene expression

Abstract

fetched live from OpenAlex

Additional file 1 : Supplemental Table S1: List of primers and probes used for qPCR validation of RNAseq results. Supplemental Table S2: RNAseq quality control metrics for each cohort presented as mean ± SEM (Range). Supplemental Table S3: All differentially expressed genes between MII-CC and GV-CC cohorts. Supplemental Table S4: Differentially expressed genes known to be regulated by LH, FSH, or both with their associated fold change, and number of gene sets that are found in following leading edge analysis. Supplemental Table S5: Previously identified genes implicated in oocyte maturation in vitro that were not differentially expressed in this study. Supplemental Table S6: Top 50 genes identified by leading edge analysis ranked by the number of unique gene-sets the gene was identified in. Supplemental Table S7: Normalized read counts of all samples.

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 machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.011
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesInsufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Dataset · Consensus signal: Dataset
Teacher disagreement score0.484
Threshold uncertainty score0.737

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.011
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0020.003
Science and technology studies0.0010.000
Scholarly communication0.0020.001
Open science0.0020.001
Research integrity0.0020.001
Insufficient payload (model declined to judge)0.4840.113

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 head0.032
GPT teacher head0.267
Teacher spread0.236 · 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 source (direct Gemma or distilled Codex), not a consensus.

Study designNot applicable
Domainnot available
GenreDataset

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
Published2020
Admission routes1
Has abstractyes

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