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Record W6969072903 · doi:10.5281/zenodo.7510144

Micropygomyia (Coquillettimyia) oppidana

2022· article· en· W6969072903 on OpenAlexaboutno aff

Bibliographic record

VenueZenodo (CERN European Organization for Nuclear Research) · 2022
Typearticle
Languageen
FieldMedicine
TopicResearch on Leishmaniasis Studies
Canadian institutionsnot available
Fundersnot available
KeywordsLutzomyiaNearctic ecozonePhlebotomusPsychodidae

Abstract

fetched live from OpenAlex

Micropygomyia (Coquillettimyia) oppidana (Dampf, 1944) oppidana Dampf, 1944: 247 (as Phlebotomus oppidanus). Type locality: Mexico, Distrito Federal, San Jacinto. Phlebotomus oppidanus Dampf: Barretto (1947, catalogue), Vargas & Díaz-Nájera (1953b, Mexican distribution), Fairchild & Hertig (1957, taxonomy), Fairchild & Hertig (1959, listed, distribution), Fairchild & Harwood (1961, keys), Fairchild & Hertig (1961a, cf. to Ph. vargasi), Eads et al. (1965, listed), Harwood (1965, USA records), Ortiz (1965b, listed), Quate (1965, Nearctic catalogue), Easton et al. (1967, mentioned), Easton et al. (1968, mentioned), Downes (1972, as Phlebotomus, listed). Lutzomyia oppidana (Dampf): Barretto (1962), Theodor (1965, as Lutzomyia species group Vexatrix), Rosabal & Miller (1970, keys), Young (1972, listed), Martins & Morales-Frías (1972, as Lutzomyia, listed), Williams (1999, listed as species group Vexator, distribution). Lutzomyia (Lutzomyia) oppidana (Dampf): Forattini (1971, listed), Forattini (1973, redescription, keys). Lutzomyia (Helcocyrtomyia) oppidana (Dampf): Martins et al. (1978, distribution), Young & Perkins (1984, taxonomy, distribution), Young & Duncan (1994, taxonomy, keys), Ibáñez-Bernal (2000 a, 2003, taxonomy, Mexican records), Ibáñez-Bernal (2005a, 2005b, keys), Ibáñez-Bernal et al. (2006, Veracruz records). Micropygomyia (Coquillettimyia) oppidana (Dampf): Galati (2003, listed, keys), Ibáñez-Bernal et al. (2011, Veracruz records), Shimabukuro et al. (2017, list, distribution), Galati (2018, listed, keyed), Galati (2021, classification, keys). General distributio n. Canada, Mexico, United States of America (Shimabukuro et al. 2017; Galati 2018, 2021). Distribution in Mexic o. Distrito Federal (= currently Ciudad de México) (Dampf 1944), Nuevo León (Martins et al. 1978), Nayarit (Ibáñez-Bernal 2003; Godínez-Álvarez & Ibáñez-Bernal 2010), Veracruz (Ibáñez-Bernal et al. 2006, 2011).

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: Empirical
Teacher disagreement score0.022
Threshold uncertainty score0.043

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.000
Science and technology studies0.0010.000
Scholarly communication0.0000.001
Open science0.0000.001
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0070.001

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 head0.048
GPT teacher head0.276
Teacher spread0.228 · 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".

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Citations0
Published2022
Admission routes1
Has abstractyes

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