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Record W4394154339 · doi:10.6084/m9.figshare.19602448

Additional file 3 of Early cephalopod evolution clarified through Bayesian phylogenetic inference

2022· dataset· en· W4394154339 on OpenAlexaff
Alexander Pohle, Björn Kröger, Rachel C. M. Warnock, Andy H. King, David Evans, Martina Aubrechtová, Marcela Cichowolski, Xiang Fang, Christian Klug

Bibliographic record

VenueFigshare · 2022
Typedataset
Languageen
FieldAgricultural and Biological Sciences
TopicCephalopods and Marine Biology
Canadian institutionsUniversity of Alberta
Fundersnot available
KeywordsCephalopodPhylogenetic treeBayesian inferenceBayesian probabilityEvolutionary biologyInferenceComputer scienceBiologyArtificial intelligencePaleontologyGeneticsGene

Abstract

fetched live from OpenAlex

Additional file 3: Data S2. Measurements and conch parameters. Here, all measurements and the corresponding conch parameters for continuous characters are listed. Note that the measurements do not always represent raw values but are proportionally adjusted in cases where not all measurements could be taken from the same specimen at the same position. One specimen is always taken as reference specimen, this specimen is explicitly cited with figure and repository number. Repository numbers printed in bold represent that the specimens have not been tracked, i.e., the corresponding collections may have been moved or reorganized. Underlined repository numbers indicate that the measurements have been taken from the literature. In cases, where additional specimens were used for measurements, the values are underlined. Values that carry some uncertainty, e.g., due to poor preservation, are printed in bold. Institutional abbreviations are listed at the bottom end.

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)0.002
metaresearch head score (Gemma)0.018
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: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Dataset · Consensus signal: Dataset
Teacher disagreement score0.634
Threshold uncertainty score0.522

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0020.018
Meta-epidemiology (narrow)0.0020.001
Meta-epidemiology (broad)0.0020.001
Bibliometrics0.0040.007
Science and technology studies0.0010.001
Scholarly communication0.0030.003
Open science0.0030.002
Research integrity0.0020.002
Insufficient payload (model declined to judge)0.6340.220

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 head0.028
GPT teacher head0.234
Teacher spread0.207 · 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 designNot applicable
Domainnot available
GenreDataset

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
Published2022
Admission routes1
Has abstractyes

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