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Record W2318812785 · doi:10.5114/wo.2010.19149

Structure and function of hormone receptors and their crosstalk with growth factor receptors

2010· article· en· W2318812785 on OpenAlexaboutno aff
Sylwia Dębska-Szmich, Piotr Potemski

Bibliographic record

VenueWspółczesna Onkologia · 2010
Typearticle
Languageen
FieldBiochemistry, Genetics and Molecular Biology
TopicPI3K/AKT/mTOR signaling in cancer
Canadian institutionsnot available
Fundersnot available
KeywordsReceptorCrosstalkHormone receptorHormoneChemistryInternal medicineMedicineCancer researchEndocrinologyBreast cancerCancerPhysicsOptics

Abstract

fetched live from OpenAlex

AMA Dębska S, Potemski P. Structure and function of hormone receptors and their crosstalk with growth factor receptors. Contemporary Oncology/Współczesna Onkologia. 2010;14(6):347-354. doi:10.5114/wo.2010.19149. APA Dębska, S., & Potemski, P. (2010). Structure and function of hormone receptors and their crosstalk with growth factor receptors. Contemporary Oncology/Współczesna Onkologia, 14(6), 347-354. https://doi.org/10.5114/wo.2010.19149 Chicago Dębska, Sylwia, and Piotr Potemski. 2010. "Structure and function of hormone receptors and their crosstalk with growth factor receptors". Contemporary Oncology/Współczesna Onkologia 14 (6): 347-354. doi:10.5114/wo.2010.19149. Harvard Dębska, S., and Potemski, P. (2010). Structure and function of hormone receptors and their crosstalk with growth factor receptors. Contemporary Oncology/Współczesna Onkologia, 14(6), pp.347-354. https://doi.org/10.5114/wo.2010.19149 MLA Dębska, Sylwia et al. "Structure and function of hormone receptors and their crosstalk with growth factor receptors." Contemporary Oncology/Współczesna Onkologia, vol. 14, no. 6, 2010, pp. 347-354. doi:10.5114/wo.2010.19149. Vancouver Dębska S, Potemski P. Structure and function of hormone receptors and their crosstalk with growth factor receptors. Contemporary Oncology/Współczesna Onkologia. 2010;14(6):347-354. doi:10.5114/wo.2010.19149.

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)0.000
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: Bench or experimental
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.046
Threshold uncertainty score0.702

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 head0.006
GPT teacher head0.209
Teacher spread0.204 · 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.

The models applied no category: nothing in the taxonomy fit this work.
Study designBench or experimental
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

Citations2
Published2010
Admission routes1
Has abstractyes

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