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Record W4399927548 · doi:10.18387/polibotanica.58.2

Un enfoque integrativo revela la identidad y la distribución interoceánica de la diatomea Halamphora adumbratoides Stepanek y Kociolek 2018 (Bacillariophyceae: Amphipleuraceae)

2024· article· es· W4399927548 on OpenAlexfundno aff
Fco. Omar López Fuerte

Bibliographic record

VenuePolibotánica · 2024
Typearticle
Languagees
FieldMaterials Science
TopicDiatoms and Algae Research
Canadian institutionsnot available
FundersCentro de Investigaciones Biológicas del NoroesteMount Allison University
KeywordsHumanitiesArt

Abstract

fetched live from OpenAlex

Halamphora adumbratoides fue descrita en 2018 en muestras procedentes del Océano Atlántico, siendo Florida Bay, USA, la localidad tipo para esta especie. En esta publicación, presentamos las características morfológicas y la identidad molecular de este taxón (cepa CIBA 160) colectado en el Golfo de California, México (en la región del Océano Pacífico). Las células de la cepa CIBA 160, fueron obtenidas mediante cultivos de laboratorio y muestra características que no corresponden con la descripción original, específicamente la forma de la valva y la presencia de poros al final de cada extremo del margen dorsal del rafe. En relación al tamaño, la longitud (4.1–6.6 μm) de la cepa CIBA 160 es más corta que la descripción original (10.0–18.0 μm). Sin embargo, el ancho de la valva y el número de estrías coinciden con los intervalos de la descripción. A nivel molecular, las secuencias del DNA de la cepa CIBA 160 mostraron 100, 99.8, y 99.5% de similitud, respectivamente con las secuencias de SSU, rbcL, y psbC de células de H. adumbratoides originarias del Océano Atlántico. Nuestro trabajo presenta el primer registro de la distribución interoceánica y el segundo registro para esta especie desde su descripción.

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: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.010
Threshold uncertainty score0.019

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 studies0.0010.000
Scholarly communication0.0010.000
Open science0.0000.001
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0020.000

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 head0.010
GPT teacher head0.315
Teacher spread0.304 · 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
Published2024
Admission routes1
Has abstractyes

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