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Record W6968901460 · doi:10.5281/zenodo.4562048

Planocera pellucida

2021· article· en· W6968901460 on OpenAlexaboutno aff

Bibliographic record

VenueZenodo (CERN European Organization for Nuclear Research) · 2021
Typearticle
Languageen
FieldBiochemistry, Genetics and Molecular Biology
TopicPlanarian Biology and Electrostimulation
Canadian institutionsnot available
Fundersnot available
KeywordsCape verdeFaunaZona pellucidaPelagic zoneMediterranean seaMediterranean climate

Abstract

fetched live from OpenAlex

Planocera pellucida (Mertens, 1833) Figs 1B, 7J Planaria pellucida Mertens, 1833: 8–13, pl. 1 Stylochus pellucidus – Ehrenberg 1836: 67. — Diesing 1850: 216. — Claparède 1861: 143. — Moseley 1877: 23. Planocera pellucida – Örsted 1844: 48. Gnesioceros pellucidus – Diesing 1862: 571. Material examined MADEIRA • 1 spec.; 32°41′18.52″ N, 16°58′57.36″ W (Fig. 1B); 2000; Leopoldo Moro leg.; RCCN. Distribution Atlantic Ocean, between Newfoundland and Ireland (type locality) (Mertens 1833); Pacific Ocean (Graff 1892; Woodworth 1894; Plehn 1896); Canary Islands (De Vera et al. 2009; Cuadrado et al. 2017); Vietnam (Dawydoff 1952); the North Sea (Prudhoe 1982); Japan (Kato 1938); the Mediterranean Sea (Lang 1879, 1884; Riedl 1959; Marquina et al. 2014); pelagic fauna of the Atlantic Ocean (Graff 1892; Plehn 1896); Cape Verde and Ascension islands (Plehn 1896; Laidlaw 1903); New record Madeira. Remarks Planocera pellucida, together with Pseudoceros wirtzi, Pseudoceros cf. maximus and Prostheceraeus giesbrechtii are the three polyclad species currently recorded for Madeira. As can be seen in Fig. 7J. The specimens of Planocera pellucida from Madeira do not differ molecularly from those captured in the Canary Islands.

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)0.001
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 score0.060
Threshold uncertainty score0.199

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.001
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0020.001
Science and technology studies0.0010.001
Scholarly communication0.0010.001
Open science0.0010.002
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0600.017

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 head0.018
GPT teacher head0.230
Teacher spread0.212 · 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
Published2021
Admission routes1
Has abstractyes

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