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Record W3033074986 · doi:10.1038/srep37381

Correction: Corrigendum: Bioluminescence Microscopy as a Method to Measure Single Cell Androgen Receptor Activity Heterogeneous Responses to Antiandrogens

2016· erratum· en· W3033074986 on OpenAlexafffund
Pallavi Jain, Bertrand Neveu, Lauriane Vélot, Lily Wu, Yves Fradet, Frédéric Pouliot

Bibliographic record

VenueScientific Reports · 2016
Typeerratum
Languageen
FieldBiochemistry, Genetics and Molecular Biology
Topicbioluminescence and chemiluminescence research
Canadian institutionsUniversité Laval
FundersCongressionally Directed Medical Research ProgramsFonds de Recherche du Québec - SantéMovember CanadaAstellas PharmaProstate Cancer CanadaDOD Prostate Cancer Research ProgramMovember FoundationCanadian Urological AssociationUniversité Laval
KeywordsAntiandrogensAndrogen receptorBioluminescenceMeasure (data warehouse)Computer scienceBioinformaticsComputational biologyData scienceInformation retrievalMedicineChemistryBiologyInternal medicineData miningBiochemistryProstate cancer

Abstract

fetched live from OpenAlex

Scientific Reports 6: Article number: 33968; published online: 28 September 2016; updated: 21 November 2016 .

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)0.004
metaresearch head score (Gemma)0.048
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Other · Consensus signal: none
Teacher disagreement score0.052
Threshold uncertainty score0.173

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0040.048
Meta-epidemiology (narrow)0.0030.001
Meta-epidemiology (broad)0.0020.002
Bibliometrics0.0040.002
Science and technology studies0.0030.003
Scholarly communication0.0040.002
Open science0.0030.002
Research integrity0.0060.010
Insufficient payload (model declined to judge)0.0520.033

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 head0.026
GPT teacher head0.310
Teacher spread0.284 · 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.

The models applied no category: nothing in the taxonomy fit this work.
Study designNot applicable
Domainnot available
GenreOther

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

Citations75
Published2016
Admission routes2
Has abstractyes

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