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Record W6968575815 · doi:10.5281/zenodo.3793286

Carpophilus hemipterus

2008· article· en· W6968575815 on OpenAlexaffabout

Bibliographic record

VenueZenodo (CERN European Organization for Nuclear Research) · 2008
Typearticle
Languageen
FieldAgricultural and Biological Sciences
TopicMollusks and Parasites Studies
Canadian institutionsCanadian Forest ServiceNatural Resources CanadaNova Scotia Hospital
Fundersnot available
KeywordsNova scotiaCline (biology)North eastDried fruitOverwinteringIntroduced species

Abstract

fetched live from OpenAlex

Carpophilus hemipterus (Linnaeus, 1758) York Co.: Charters Settlement, 45.8395°N, 66.7391°W, 29.VIII.2007, 8.IX.2007, R.P. Webster, mixed forest, in pile of corncobs and cornhusks (local corn), (8, RWC). In Canada this adventive species has been recorded from British Columbia east to Québec (McNamara 1991), and in the United States it is widely distributed from Washington and California east to Texas and Florida and north to Wisconsin and Maine; also in Alaska (Parsons 1943; Downie and Arnett 1996; Chandler 2001). Horn (1879) remarked that the species was “widely distributed over the region east of the Rocky Mountains.” The species was reported from Nova Scotia by Majka and Cline (2006) but only as an intercepted species found on imported corn (Zea mays L., Poaceae). This cosmopolitan species has been found on a vast assortment of fresh and dried fruits and stored products including dried fruits such as apples, apricots, bananas, figs, prunes and raisins; fresh fruits and vegetables such as apples, apricots, oranges, dates, grapefruits, limes, maize, melons, pineapples, pears, peaches, persimmons, plums, and tomatoes; on grape skins, sugar, honey, grain, bread, biscuits, rice, avocado seeds, cotton seeds, shelled peanuts, corn meal, sorghum, cloves, and other spices (Hinton 1945).

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 score0.032
Threshold uncertainty score0.108

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0020.001
Science and technology studies0.0010.000
Scholarly communication0.0000.001
Open science0.0010.001
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0320.015

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 head0.061
GPT teacher head0.223
Teacher spread0.162 · 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
Published2008
Admission routes2
Has abstractyes

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