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Record W6931023993 · doi:10.5281/zenodo.13263914

Fig. 1. The Devonian actinopterygian Cheirolepis canadensis Whiteaves, 1881 from Miguasha, Canada. A. MHNM 05-132 in A microanatomical and histological study of the postcranial dermal skeleton of the Devonian actinopterygian Cheirolepis canadensis

2015· other· en· W6931023993 on OpenAlexaboutno aff

Bibliographic record

VenueZenodo (CERN European Organization for Nuclear Research) · 2015
Typeother
Languageen
FieldComputer Science
TopicGaussian Processes and Bayesian Inference
Canadian institutionsnot available
Fundersnot available
KeywordsDevonianTransversal (combinatorics)PostcraniaDorsumDorsal finFish finApex (geometry)

Abstract

fetched live from OpenAlex

Fig. 1. The Devonian actinopterygian Cheirolepis canadensis Whiteaves, 1881 from Miguasha, Canada. A. MHNM 05-132, general view of the right side of the caudal fin (A1), showing the dorsal fulcra (detail in A2) and the numerous ventral segmented and ramified lepidotrichia and the basal fringing fulcra (detail in A3). The double-arrows indicate the caudal fin fragments (I–V), sectioned in the planes indicated by the doted lines to obtain ground sections of fulcra and lepidotrichia (I), transversal sections of fulcra and scales and longitudinal sections of the basal segment of lepidotrichia (II), longitudinal sections of the lepidotrichia (III), transversal sections of lepidotrichia and fulcra (IV), and the very distal part of lepidotrichia (V). Dorsal fulcra of the dorsal margin of the caudal fin (A2). Basal fringing fulcra and segments of lepidotrichia (A3). B. MHNM 05-142, fossilised skin showing the scales organised in parallel rows. The double-arrows indicate fragments (VI–VIII), sectioned in the planes indicated by the doted lines to obtain ground sections of scales: tangential (VI), longitudinal (VII), transversal (VIII).

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: none
Teacher disagreement score0.120
Threshold uncertainty score0.241

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0040.006
Science and technology studies0.0030.001
Scholarly communication0.0010.000
Open science0.0010.001
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0250.004

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 head0.016
GPT teacher head0.208
Teacher spread0.192 · 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
Published2015
Admission routes1
Has abstractyes

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