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Record W6912362310 · doi:10.5281/zenodo.3791251

Philoplitis Nixon 1965

2009· article· en· W6912362310 on OpenAlexaff

Bibliographic record

VenueZenodo (CERN European Organization for Nuclear Research) · 2009
Typearticle
Languageen
FieldMedicine
TopicSkin Diseases and Diabetes
Canadian institutionsAgriculture and Agri-Food CanadaUniversity of Guelph
Fundersnot available
KeywordsScutellumGroove (engineering)Margin (machine learning)DorsumLobeHook

Abstract

fetched live from OpenAlex

Philoplitis Nixon, 1965: 267. Diagnosis. Adults of Philoplitis (Fig. 1) are distinguished by the following characteristics: palpi dark, with apical segments of maxillary palps paler; pronotum laterally with broad, crenulate dorsal groove and narrow ventral one; propleuron with lobe above coxae extending up and back over lower corner of pronotum; mesoscutum usually with carinate lateral margin above tegulae; scutellum coarsely punctate and greatly prolonged posteriorly over propodeum, being about as long as mesoscutum when measured from anterior margin of scutellar scrobe; metanotum punctate and withdrawn Figures Ι–2. Ι Habitus of Philoplitis masneri 2 Detail of the forewing of Philoplitis striatus showing the vein measurements. from scutellum exposing scutellar phragma, with anterior margin bearing long, cylindrical, apically setose process laterally; propodeum strongly rugose and bearing complete median longitudinal carina; mediotergite 1 rectangular and mediotergite 2 with truncate, smooth or sculptured pyramidal area; metatibiae with inner spur extending slightly beyond the middle of first tarsomere.

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: Not applicable · Consensus signal: none
GenreCandidate signal: Other · Consensus signal: none
Teacher disagreement score0.012
Threshold uncertainty score0.039

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.000
Science and technology studies0.0010.000
Scholarly communication0.0000.001
Open science0.0000.001
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0120.003

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 head0.028
GPT teacher head0.259
Teacher spread0.231 · 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 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
Published2009
Admission routes1
Has abstractyes

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Same venueZenodo (CERN European Organization for Nuclear Research)Same topicSkin Diseases and DiabetesFrench-language works237,207