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Record W7099193531

1. ENTOMOL So c BRlT COLUMBIA 93. DECEMBER 1996 A survey of grassland and montane arthropods collected in the southern Okanagan region of British Columbia.

2016· article· en· W7099193531 on OpenAlexaboutno aff

Bibliographic record

Venuenot available
Typearticle
Languageen
FieldMedicine
TopicDermatology and Skin Diseases
Canadian institutionsnot available
Fundersnot available
KeywordsTransectGrasslandAridPlateau (mathematics)TaxonBiodiversityVegetation (pathology)Montane ecology
DOInot available

Abstract

fetched live from OpenAlex

The arthropods of the Osoyoos- Mt. Kobau area (11 9 ° 40 ' W, 49 ° OS ' N) in the southern Okanagan valley of BC were surveyed in the summer of 1991. Mt. Kobau is a high ridge with south-facing slopes covered in grassland and sagebrush from valley bottom to summit. A variety of insect traps and active collecting techniques was used to obtain the greatest poss ible diversity of arthropod species in the samples. Collections were made in a roughly vertical transect of Mt. Kobau from 300m at Osoyoos to the summit at 186 1 m. Eighty-eight samples were sorted to select the greatest number of taxa poss ible. A total of 5566 specimens was prepared for identification and of this, 5023 were identified to species (or morphospecies) by March, 1994. We collected at least 1101 species, including 12 new distributional records for Canada, 15 new di stributions for BC, 30 possible new records for Canada and 14 possible new records for BC, 2 new spccies, and 84 specics considcred rare, restricted or potentially endangered. Most of the rare species and records were found at low elevations and are typIcal of deserts and arid sagebrush grasslands of the Great Basin and Columbia Plateau to the south. Comparison of catches made by different collecting techniques indicates that pantraps catch the most specics and are the most cost effective.

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: none
Teacher disagreement score0.489
Threshold uncertainty score0.983

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 science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.1460.032

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 head0.014
GPT teacher head0.241
Teacher spread0.227 · 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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