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Record W3047493241 · doi:10.1016/j.jmoldx.2020.07.003

Design and Development of a Fully Synthetic Multiplex Ligation-Dependent Probe Amplification–Based Probe Mix for Detection of Copy Number Alterations in Prostate Cancer Formalin-Fixed, Paraffin-Embedded Tissue Samples

2020· article· en· W3047493241 on OpenAlexafffund
Walead Ebrahimizadeh, Karl‐Philippe Guérard, Shaghayegh Rouzbeh, Yogesh Bramhecha, Eleonora Scarlata, Fadi Brimo, Palak Patel, Tamara Jamaspishvili, Armen Aprikian, David M. Berman, John M.S. Bartlett, Simone Chevalier, Jacques Lapointe

Bibliographic record

VenueJournal of Molecular Diagnostics · 2020
Typearticle
Languageen
FieldMedicine
TopicProstate Cancer Treatment and Research
Canadian institutionsMcGill UniversityOccupational Cancer Research CentreUniversity of TorontoOntario Institute for Cancer ResearchQueen's UniversityMcGill University Health Centre
FundersFonds de Recherche du Québec - SantéProstate Cancer CanadaMcGill University Health CentreMovember FoundationMcGill University
KeywordsMultiplexMultiplex ligation-dependent probe amplificationProstate cancerBiologyFluorescence in situ hybridizationTaqManMolecular biologyCancer researchDigital polymerase chain reactionCancerComputational biologyReal-time polymerase chain reactionPolymerase chain reactionGeneticsGeneChromosome

Abstract

fetched live from OpenAlex
No abstract in any covered source. Its absence is recorded, not treated as a negative.

No abstract. This is not a gap in this database; OpenAlex has none either. 23.3% of the frame is in this state, and the screen finds HALF as much metaresearch here, so the absence is a measured bias rather than a missing field.

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)0.001
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: none
Teacher disagreement score0.475
Threshold uncertainty score0.466

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.001
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 head0.045
GPT teacher head0.330
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 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

Citations7
Published2020
Admission routes2
Has abstractno

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