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Record W6902203676 · doi:10.6084/m9.figshare.26616007

Additional file 1 of Variation in claw morphology among the digits of Bent-toed geckos (Cyrtodactylus: Gekkota: Gekkonidae)

2024· article· en· W6902203676 on OpenAlexaff

Bibliographic record

VenueFigshare · 2024
Typearticle
Languageen
FieldAgricultural and Biological Sciences
TopicInsect-Plant Interactions and Control
Canadian institutionsUniversity of Calgary
Fundersnot available
KeywordsClawConfidence intervalCurvatureMorphology (biology)Variation (astronomy)

Abstract

fetched live from OpenAlex

Additional file 1: Supplement SM1. Test for bilateral symmetry. Supplementary Figure SF1. Box plots of the raw values for (A) claw depth, (B) claw length, and (C) claw curvature. The plot on the left shows mean values per species for each trait, while the right hand side plot shows mean per digit. The left side of the body is shown in red while the right side is shown in green. Note that these values are not size corrected. Supplementary Figure 2. Predicted mean vales and 95% confidence intervals for size adjusted claw length for all digits. Significant differences (a-b) are shown among species. CL = claw length, SVL = snout-vent-length. Supplementary Figure 3. Predicted mean vales and 95% confidence intervals for size adjusted claw depth for all digits. Significant differences (a-b) are shown among species. CD = claw depth, SVL = snout-vent-length. Supplementary Figure 4. Predicted mean vales and 95% confidence intervals for claw curvature (CC) for all digits. Significant differences (a-b) are shown among species.

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)0.001
metaresearch head score (Gemma)0.010
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesInsufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.872
Threshold uncertainty score0.183

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.010
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0020.003
Science and technology studies0.0010.000
Scholarly communication0.0010.002
Open science0.0020.001
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.8720.226

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 head0.015
GPT teacher head0.203
Teacher spread0.188 · 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.

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
Published2024
Admission routes1
Has abstractyes

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