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Record W3208089425 · doi:10.5281/zenodo.3555585

Supplementary data for Kvist et. al. 2020 "Draft genome of the European medicinal leech Hirudo medicinalis (Annelida: Clitellata: Hirudiniformes) with emphasis on anticoagulants"

2019· dataset· en· W3208089425 on OpenAlexaff
Sebastian Kvist, Alejandro Manzano-Marı́n, Danielle de Carle, Peter Trontelj, Mark E. Siddall

Bibliographic record

VenueZenodo (CERN European Organization for Nuclear Research) · 2019
Typedataset
Languageen
FieldMedicine
TopicLeech Biology and Applications
Canadian institutionsRoyal Ontario Museum
FundersEuropean Commission
KeywordsHirudo medicinalisClitellataLeechBiologyZoologyComputer scienceWorld Wide Web

Abstract

fetched live from OpenAlex

anticoagulant_prots.tar.gz: Proteins sequence, alignment, exon structure, and tree files for identified anticoagulant proteins plus putative anticoagulant proteins from the Hirudo medicinalis ROM11733 v1 assembly Himedicinalis_ROM11733_annotation.tar.gz: InterProScan, UniProtKB, MAKER, RepeatModeller, Rfam, and tRNAscan-SE annotation files for the Hirudo medicinalis ROM11733 v1 assembly PhymmBL_tax_assign.tar.gz: PhymmBL files of the tree rounds of taxnonomic assignment

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)0.006
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: Dataset · Consensus signal: Dataset
Teacher disagreement score0.190
Threshold uncertainty score0.634

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.006
Meta-epidemiology (narrow)0.0020.001
Meta-epidemiology (broad)0.0020.001
Bibliometrics0.0030.005
Science and technology studies0.0010.001
Scholarly communication0.0020.001
Open science0.0030.002
Research integrity0.0030.002
Insufficient payload (model declined to judge)0.1900.138

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 head0.325
Teacher spread0.256 · 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
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
Published2019
Admission routes1
Has abstractyes

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