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Record W6969233593 · doi:10.5281/zenodo.3867117

Vascoblaniulus cabidochei Mauries 1967

2017· article· en· W6969233593 on OpenAlexaff

Bibliographic record

VenueZenodo (CERN European Organization for Nuclear Research) · 2017
Typearticle
Languageen
FieldPsychology
TopicAcademic and Historical Perspectives in Psychology
Canadian institutionsBC Research (Canada)
Fundersnot available
KeywordsFaunaHabitatGenusAdaptation (eye)CaveEndemismArthropod mouthparts

Abstract

fetched live from OpenAlex

49. Vascoblaniulus cabidochei Mauriès, 1967 Distribution FR-FRA (Gouffre de la Pierre-Saint-Martin in the Pyrenees, Basque Region). Habitat Cavernicolous. Cabidoche (1968: 670) described the unusual habitat of the species in detail: “Among the species living in this cavity, Vascoblaniuilus cabidochei should be especially emphasized; it is localised very differently from the remaining fauna ... and is never found together with … species which come to baits. (This is in contrast to what one can usually see in numerous caves at low altitude in the same region, where diplopods of the genus Typhloblaniulus = [Blaniulus] litterally swarm on baits. The new genus described by Mauriès is thus quite distinct: in addition to morphological criteria its ecology is quite different because it is the only species which frequents the banks of subterranean watercourses” (translated from French). In the latter respect, V. cabidochei is reminiscent of certain Trogloiulus and Typhloiulus species (Enghoff 1985b). Remarks Its mouthparts are very different from those of other blaniulids, probably an adaptation to living in very wet places (Enghoff 1985b).

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)0.000
metaresearch head score (Gemma)0.000
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.044
Threshold uncertainty score0.087

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.000
Science and technology studies0.0010.001
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0160.003

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 head0.058
GPT teacher head0.333
Teacher spread0.275 · 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 designObservational
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
Published2017
Admission routes1
Has abstractyes

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