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Figure 1 from: Fisher JR, Fisher DM, Skvarla MJ, Nelson WA, Dowling APG (2017) Revision of torrent mites (Parasitengona, Torrenticolidae, Torrenticola) of the United States and Canada: 90 descriptions, molecular phylogenetics, and a key to species. ZooKeys 701: 1-496. https://doi.org/10.3897/zookeys.701.13261

2017· other· en· W6947794882 on OpenAlexaboutno aff

Bibliographic record

VenueZenodo (CERN European Organization for Nuclear Research) · 2017
Typeother
Languageen
FieldArts and Humanities
TopicLibraries and Information Services
Canadian institutionsnot available
Fundersnot available
KeywordsIdentification (biology)PopulationCircumstantial evidenceFeature (linguistics)

Abstract

fetched live from OpenAlex

Figure 1 - \n Diversity of Torrenticola in Ouachita National Forest, Arkansas. Species from top-left to bottom-right: T. irapalpa sp. n., T. interiorensis sp. n., T. biscutella sp. n. female, T. biscutella sp. n. male, T. pearsoni sp. n., T. trimaculata Fisher & Dowling 2016, T. unimaculata sp. n., T. larvata Cherri et al. 2016, T. solisorta sp. n. Note that, for a given locality, many characters necessary for identification can be seen under low magnification. For example, species in the bottom row can be readily differentiated using color pattern. In contrast, species in the top row have similar color patterns; however, even they can be readily identified: T. irapalpa have dorsal glandularia (Dgl-4) closer together than the other species and T. biscutella have fused anterio-lateral platelets and strong sexual dimorphism (neither character is present in T. interiorensis). Only the identification of T. interiorensis is tentative based on this image, because T. neoanomala (not pictured), which are also found in this locality, can only be differentiated from T. interiorensis by comparing precise measurements of the anterio-lateral platelets, necessitating examining slide-prepared material under higher magnification. Also, note that some species can appear differently than what is depicted in species descriptions. For example, although T. pearsoni sp. n. has a nearly colorless cuticle, it can appear dark due to gut contents, as shown here. Image is a composite of stacked images from a Samsung GS7 and edited in Adobe Photoshop.

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 categoriesMeta-epidemiology (narrow), Scholarly communication, Insufficient payload (model declined to judge)
Consensus categoriesInsufficient payload (model declined to judge)
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Other · Consensus signal: Other
Teacher disagreement score0.119
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0010.000
Scholarly communication0.0010.000
Open science0.0010.001
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.1200.001

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 head0.037
GPT teacher head0.212
Teacher spread0.175 · 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; both teacher heads agree on what is shown here.

Study designNot applicable
Domainnot available
GenreOther

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
Published2017
Admission routes1
Has abstractyes

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