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Record W6931093357 · doi:10.5281/zenodo.4328627

Platorchestia platensis Griffiths et al. 2009

2016· article· en· W6931093357 on OpenAlexaff

Bibliographic record

VenueZenodo (CERN European Organization for Nuclear Research) · 2016
Typearticle
Languageen
FieldAgricultural and Biological Sciences
TopicPlant Pathogens and Resistance
Canadian institutionsUniversity of GuelphFisheries and Oceans Canada
Fundersnot available
KeywordsBayTable (database)Sampling (signal processing)National parkCommon species

Abstract

fetched live from OpenAlex

Platorchestia platensis (KrØyer, 1845) BOLD:AAA2949 As Orchestia platensis KrØyer 1845, p. 304, fig. 2; Platorchestia platensis (KrØyer 1845), Bousfield 1982, p. 26. Material examined From the following sampling locations: 8C, 14A, 14C, 16B (see Table 1 and Figure 2 for further details). Distribution Found on similar sand beaches and under similar wrack piles as P. monodi. Found in single species samples (that is all three individuals analysed = BOLD:AAA2949), all on the northwest coast of Bermuda at Bailey ’ s Bay (8C), Tynes Bay (14C) and Lagoon Park (16B). One other sample at Tobacco Bay Park (14A) was a mixed sample containing one P. platensis and two P. monodi. Other locations on the northwest coast consisted of single species P. monodi, e.g. Coot Pond (14B), Gibbon ’ s Bay (7A) and Stovell ’ s Bay (5B). Remarks During this study this species was first recognized by its distinct molecular signature, which matched specimens identified as P. platensis from BOLD and GenBank. The same species is common on the Atlantic coast of North America, north of Charleston, North Carolina to New Brunswick (Radulovici 2012). Formalin-preserved specimens have not been checked for the possible occurrence of the two species of Platorchestia by morphological criteria, with the exception of sample 8C.

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 score0.019
Threshold uncertainty score0.043

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 studies0.0010.001
Scholarly communication0.0000.000
Open science0.0000.001
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0130.002

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 head0.033
GPT teacher head0.214
Teacher spread0.181 · 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
Published2016
Admission routes1
Has abstractyes

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