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Record W6930265842 · doi:10.5281/zenodo.12798574

Exaiptasia diaphana

2021· article· en· W6930265842 on OpenAlexaboutno aff

Bibliographic record

VenueZenodo (CERN European Organization for Nuclear Research) · 2021
Typearticle
Languageen
FieldBiochemistry, Genetics and Molecular Biology
TopicWnt/β-catenin signaling in development and cancer
Canadian institutionsnot available
Fundersnot available
KeywordsAbundance (ecology)Sex ratioTable (database)PopulationRelative species abundanceQuarter (Canadian coin)

Abstract

fetched live from OpenAlex

Exaiptasia diaphana Individuals of E. diaphana were mostly retrieved in sheltered substrates, with high water exchange and current exposure. The maximum depth that limits their distribution at Passetto was 3 m. Contrary to A. viridis, E. diaphana was usually observed on shady and vertical/ subvertical surfaces, where it tends to strongly attach and to colonize the micro asperities found on the substrate. Temporal variations in abundance Its variations Exaiptasia diaphana were always present during the study period, but its abundance fluctuated as shown in Figure 2B, reaching a maximum value in September 2013 (31.6% ± 18.1% SD) and a minimum value in December 2013 (5.0% ± 7.6% SD). Table 1 summarises main features of E. diaphana. Their abundance was positively correlated with temperature patterns (r = 0.59, N = 11, p <0.05), but not with wave heights and irradiance (Kruskal- Wallis, respectively with r = 0.35, N = 11 and r = 0.57, N = 11, p> 0.05). A. diphana’s abundance peaked during the quarter July-September (on average: 24.4% ± 17.8% SD), while the minimal value occurred between October and December (15.3% ± 20.4% SD). Statistical analysis showed significant variations in E. diaphana coverage among quarters (Kruskal- Wallis, H = 22.6, p <0.001). Table 1 summarises main features of E. diaphana. Reproductive biology Figure 3B summarizes data about sex ratio in the species E. diaphana. The first fertile individuals (females) were recorded in December 2013 (10%). The following months showed an increasing in the number of females (Fig. 4d-f), reaching a peak in April and May 2014 (35%), while males were observed only in June 2014 (54.5 %), with a sex ratio (F/M) 1:2. Monthly variations in the number of female gonads individual-1 were shown in Figure 4D. The minimal value was recorded in December 2013 (29 gonads individual-1 ± 4.2 SD) reaching a maximum in May 2014 (94.0 ± 12.4 SD), then, their abundance dropped in June (71 ± 21.2 SD). Considering the quarterly variations, the number of gonads peaked in April-June (76.8 ± 24.3 SD) and decreased in October-December (29.0 ± 2.1 SD). Variations in the number of gonads individual-1 in E. diaphana were negatively correlated to temperature (Pearson’s correlation, r = 0.71, df = 28, p <0.001). Differences among quarters were statistically significant (One Way ANOVA, p <0.01, followed by Tuckey HSD, p <0.05). The number of oocytes gonad-1 was counted only from April to June 2014, as the increase of size of the oocytes allowed us to count them. In April the number was 44.3 ± 36.5 SD, in May it was 37.7 ± 6.0 SD and in June it was equal to 13.9 ± 8.5 SD. It showed a decreasing pattern in time. Sizes of female gametes are shown in Figure 4E and Supplementary Material S3. Their size ranged from 60 to 180 μm in January-March, with the 55% of the measured cells within the class 101-140 μm; while sizes varied between 60 and 220 μm in April-June (size class more frequent (46%): 101-140 μm). Finally, Male individuals were not found in the sampling site; however, we observed males in June 2013 in some specimens collected nearby for other purposes.

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: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.005
Threshold uncertainty score0.017

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)0.0050.001

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 head0.024
GPT teacher head0.239
Teacher spread0.215 · 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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