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Record W4412110468 · doi:10.1099/ijsem.0.006819

Judicial Opinion 132

2025· article· en· W4412110468 on OpenAlexfundno aff
David R. Arahal, Carolee T. Bull, Henrik Christensen, Maria Chuvochina, Christopher A. Dunlap, Maria del Carmen Montero‐Calasanz, Charles Thomas Parker, Peter Vandamme, António Ventosa, Stefano Ventura, J. Peter W. Young, Markus Göker

Bibliographic record

VenueINTERNATIONAL JOURNAL OF SYSTEMATIC AND EVOLUTIONARY MICROBIOLOGY · 2025
Typearticle
Languageen
FieldSocial Sciences
TopicLegal Systems and Judicial Processes
Canadian institutionsnot available
FundersNational Institute of Food and AgricultureMinisterio de Asuntos Económicos y Transformación Digital, Gobierno de EspañaMinisterio de Economía y CompetitividadJoint Genome InstituteCanadian Patient Safety InstituteOffice of ScienceU.S. Department of AgricultureU.S. Department of Energy
KeywordsBiology

Abstract

fetched live from OpenAlex

Opinion 132 deals with a Request for an Opinion asking the Judicial Commission to assess the nomenclatural status of Skermania piniformis (Blackall et al. 1989) Chun et al. 1997, a new combination affected by an unusual change in the epithet of its basonym, Nocardia pinensis Blackall et al. 1989. This is done by re-evaluating Opinion 85, which sets a precedent. The reasons and consequences of this earlier Opinion are explained in detail, and corresponding guidelines for orthographic corrections are given, along with further guidance derived from more recently published Judicial Opinions. The request to change the epithet to Skermania pinensis corrig. (Blackall et al. 1989) Chun et al. 1997 is granted, and it is also emphasized that this does not affect the legitimacy or the date of valid publication of the names involved. The Judicial Commission also grants the third request made in the same article and rules that, according to Rule 54 of the International Code of Nomenclature of Prokaryotes (ICNP), it is not necessary, and even unwise, to propose two names for the same taxon in the same study to replace an illegitimate name.

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)0.001
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: Theoretical or conceptual · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.697
Threshold uncertainty score0.236

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.001
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 head0.017
GPT teacher head0.318
Teacher spread0.301 · 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 designTheoretical or conceptual
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

Citations1
Published2025
Admission routes1
Has abstractyes

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Same venueINTERNATIONAL JOURNAL OF SYSTEMATIC AND EVOLUTIONARY MICROBIOLOGYSame topicLegal Systems and Judicial ProcessesFrench-language works237,207