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Record W6950078361 · doi:10.5281/zenodo.5976943

Palaeoleptochromus O'Keefe

2018· article· en· W6950078361 on OpenAlexaboutno aff

Bibliographic record

VenueZenodo (CERN European Organization for Nuclear Research) · 2018
Typearticle
Languageen
FieldEarth and Planetary Sciences
TopicMineralogy and Gemology Studies
Canadian institutionsnot available
Fundersnot available
KeywordsContext (archaeology)SetaMargin (machine learning)Type (biology)Phylogenetic treeVertex (graph theory)

Abstract

fetched live from OpenAlex

† Palaeoleptochromus O'Keefe Palaeoleptochromus O'Keefe, 1997: 380 (in O’Keefe et al. (1997)). Type species: Palaeoleptochromus schaufussi O'Keefe, 1997 (orig. des.). Palaeoleptochromus, with its sole species P. schaufussi (Fig. 86) from the Upper Cretaceous Canadian amber, differs from Clidicus in a pair of long setae on the posterior margin of vertex and the labial palps: the palpomere II is pedunculate and strongly broadened in its distal half, where it is about 4 times as broad as at base, and palpomere III is bristle-like, extremely slender and pointed. Other characters included in the original description seem to agree with those of Clidicus, except that P. schaufussi is very small, only 2.23 mm long (although the smallest Clidicus is 2.99 mm long). The type specimen was not available for my study, but it seems that most characters crucial to place P. schaufussi in a taxonomic context are not observable in the inclusion. In the recently published phylogenetic analysis Palaeoleptochromus was placed within Clidicus, and these names may be synonymous, but the evidence for this is too scarce to make such a decision. The placement of Palaeoleptochromus remains unclear.

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: Not applicable · Consensus signal: none
GenreCandidate signal: Other · Consensus signal: Other
Teacher disagreement score0.057
Threshold uncertainty score0.190

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0010.001
Scholarly communication0.0000.001
Open science0.0000.001
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0570.012

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 head0.032
GPT teacher head0.229
Teacher spread0.197 · 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
GenreOther

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
Published2018
Admission routes1
Has abstractyes

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