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Record W631590172 · doi:10.1385/1592590381

Nucleic Acid Protocols Handbook, The

2000· book· en· W631590172 on OpenAlexfundno aff
Ralph Rapley

Bibliographic record

VenueHumana Press eBooks · 2000
Typebook
Languageen
FieldComputer Science
TopicEducational Robotics and Engineering
Canadian institutionsnot available
FundersNational Cancer InstituteUniversity of California, DavisUniversitätsspital ZürichDeutsches KrebsforschungszentrumCentre National de la Recherche ScientifiqueInstitut Gustave-RoussyKungliga Tekniska HögskolanCoventry UniversityCentre Hospitalier Universitaire de QuébecPfizerYork UniversityUniversity College LondonInstitut National de la Recherche AgronomiqueWellcome TrustMayo Foundation for Medical Education and ResearchImperial College LondonUniversity of WashingtonMassachusetts Institute of TechnologyUniversité de GenèveKing's College LondonYale UniversityMassachusetts General HospitalColorado State UniversityBrigham and Women's HospitalTenovusFlorida State UniversityMedical Research CouncilIsrael Cancer Research Fund
KeywordsNucleic acidComputer scienceChemistryBiochemistry

Abstract

fetched live from OpenAlex

Ralph Rapley, Ed., The Nucleic Acids Protocols Handbook (Totawa: Humana Press 2000) ISBN 978-0-89603-459-4, eISBN 978-1-59259-038-4, DOI 10.1385/1592590381

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)0.005
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: Methods · Consensus signal: Methods
Teacher disagreement score0.089
Threshold uncertainty score0.298

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0040.005
Meta-epidemiology (narrow)0.0040.007
Meta-epidemiology (broad)0.0050.002
Bibliometrics0.0090.006
Science and technology studies0.0030.001
Scholarly communication0.0050.004
Open science0.0050.003
Research integrity0.0030.008
Insufficient payload (model declined to judge)0.0890.264

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 head0.069
GPT teacher head0.279
Teacher spread0.210 · 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
GenreMethods

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

Citations56
Published2000
Admission routes1
Has abstractyes

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