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Record W2794977108 · doi:10.1139/cjz-2017-0260

Taxonomy and biogeography of <i>Hemphillia</i> (Gastropoda: Pulmonata: Arionidae) in North American rainforests, with description of a new species (Skade’s jumping-slug, <i>Hemphillia skadei</i> sp. nov.)

2018· article· en· W2794977108 on OpenAlexvenueno aff
Michael Lucid, Aidan Rankin, Anahí Espíndola, Lyle Chichester, Sonja M. Ehlers, Lindsay Robinson, Jack Sullivan

Bibliographic record

VenueCanadian Journal of Zoology · 2018
Typearticle
Languageen
FieldAgricultural and Biological Sciences
TopicMollusks and Parasites Studies
Canadian institutionsnot available
FundersIdaho Department of Fish and GameCalifornia Department of Fish and WildlifeWashington Department of Fish and WildlifeMassachusetts Department of Fish and Game
KeywordsBiologyPulmonataGastropodaSlugTaxonomy (biology)ZoologyBiogeographyRainforestEcologyJumpingTaxonPaleontology

Abstract

fetched live from OpenAlex

Species diversity of the genus Hemphillia Bland and W.G. Binney, 1872 (jumping-slugs) was studied across its range in western North America’s inland temperate rainforests. The taxonomic relationships among jumping-slug populations were clarified by integrating morphological, molecular, and biogeographic approaches. A new species, Skade’s jumping-slug (Hemphillia skadei sp. nov.), was discovered in this process and is described herein. We base this taxonomic decision on molecular comparison of representatives from other Hemphillia species and four morphological characters that distinguish H. skadei from its sister species, the pale jumping-slug (Hemphillia camelus Pilsbry and Vanatta, 1897). The distribution of H. skadei and H. camelus is described along with the notable lack of detection of the marbled jumping-slug (Hemphillia danielsi Vanatta, 1914) within the primary survey area.

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 distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation 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 score0.810
Threshold uncertainty score0.923

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.001
Science and technology studies0.0000.001
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

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 head0.024
GPT teacher head0.191
Teacher spread0.167 · 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 teacher head, 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

Citations7
Published2018
Admission routes1
Has abstractyes

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