MétaCan
Menu
Back to cohort
Record W6931327067 · doi:10.5281/zenodo.4689196

Amigdoscalpellum rigidum

2001· article· en· W6931327067 on OpenAlexaboutno aff

Bibliographic record

VenueZenodo (CERN European Organization for Nuclear Research) · 2001
Typearticle
Languageen
FieldEngineering
TopicGait Recognition and Analysis
Canadian institutionsnot available
Fundersnot available
KeywordsSeamountPantropicalLolium rigidumSituatedCape

Abstract

fetched live from OpenAlex

Amigdoscalpellum rigidum (Aurivillius, 1898) (Fig. 26) Scalpellum rigidum Aurivillius, 1898: 189. Amigdoscalpellum rigidum – Zevina 1978: 1349; 1981: 277, fig. 209. — Young 1998a: 25, figs 16, 19 (with synonymy); 1998b: 42. MATERIALEXAMINED. — BENGAL 2, stn 13078#27, 48°50.13’N, 16°39.86’W to 48°59.06’N, 16°38.58’W, 4844 m, 1 specimen, tl (cl) 38.8 (29.8) mm (MNRJ 13916). — SEAMOUNT 2, stn CP 236, 32°03.72’N, 27°40.59’W, 1925 m to 32°05.52’N, 27°39.69’W, 1960 m, 1 specimen, tl (cl) 21.6 (17.0) mm (MNHN Ci 2878). REMARKS The specimen collected at station 13078 is exceptionally large (38.8 mm) and probably represents the greatest length this species attains. The plates appear to be old with a considerable amount of erosion. It is interesting to note how reduced the inframedian-latus is in this specimen, when compared with younger ones (Fig. 26). The inframedian-latus seems to lose its function of covering the suture between the lower latera and becomes an eroded small plate situated over the rostrolatus. Amigdoscalpellum rigidum is a common deepsea pedunculate occurring between 1267 and 4810 m from the Azores, Cape Verde, Iberian, West European and Newfoundland basins (Aurivillius 1898; Gruvel 1905; Young 1998a, b).

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)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesInsufficient payload (model declined to judge)
Consensus categoriesInsufficient payload (model declined to judge)
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.907
Threshold uncertainty score0.976

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0010.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0290.025

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 head0.024
GPT teacher head0.211
Teacher spread0.187 · 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; both teacher heads agree on what is shown here.

Study designNot applicable
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

Citations0
Published2001
Admission routes1
Has abstractyes

Explore more

Same venueZenodo (CERN European Organization for Nuclear Research)Same topicGait Recognition and AnalysisFrench-language works237,207