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Record W6968922544 · doi:10.5281/zenodo.6113093

Pachytodes Pic 1891

2015· article· en· W6968922544 on OpenAlexaboutno aff

Bibliographic record

VenueZenodo (CERN European Organization for Nuclear Research) · 2015
Typearticle
Languageen
FieldImmunology and Microbiology
TopicVector-borne infectious diseases
Canadian institutionsnot available
Fundersnot available
KeywordsIndustrial cityChinaQuarter (Canadian coin)Population

Abstract

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Pachytodes Pic, 1891 61. Pachytodes cerambyciformis (Schrank, 1781) Examined material. Several hundred specimens from different locations (City of Belgrade D, Belgrade, Košutnjak Park; City of Belgrade D, Belgrade, Miljakovac; City of Belgrade D, Belgrade, village of Ripanj; Srem D, Belgrade, village of Kupinovo, Kupinovski Kut; City of Belgrade D, Mt. Avala; Pomoravlje D, Svilajnac, Baćica Hill; Srem D, Mt. Fruška Gora, Stražilovo; South Banat D, Vršačko Brdo Hill; Zlatibor D, Mt. Tara, vicinity of the Perućac Lake; Pomoravlje D, Mt. Beljanica, village of Sladaja; Pomoravlje D, Mt. Beljanica, Resava River Canyon; Braničevo D, Homoljske Planine Mts., Majdan Kučajna; Zaječar D, Mt. Ozren; Bor D, Tekija; Bor D, Kazan — Ploče; Moravica D, Mt. Ovčar; Zlatibor D, Mt. Zlatibor, Tornik Peak; Zaječar D, Mt. Rtanj, village of Rtanj; Bor D, Donji Milanovac; Rasina D, Mt. Kopaonik, Gvozdac; City of Belgrade D, Barajevo, Guberevac Forest; Raška D, Mt. Golija, village of Rudno, 1,150 m a.s.l.; Pčinja D, Surdulica, village of Masurica, 525 m a.s.l.; Pčinja D, Preševo, village of Miratovac, 560 m a.s.l.; Pirot D, Mt. Stara Planina, village of Topli Do, 850 m a.s.l.; Pirot D, Dimitrovgrad, village of Poganovo, by the Jerma River; Pirot D, Pirot, village of Rsovci, 675 m a.s.l.; City of Belgrade D, Belgrade, Vidikovac; Toplica D, Mt. Jastrebac, Blace, village of Kačapor, 650 m a.s.l.; Pčinja D, Vlasina Lake surroundings, Mt. Čemernik, village of Vlasina Rid, 1,150 m a.s.l.) (Ćurčić et al. 2003; Ilić 2005; Ilić & Ćurčić 2013; Ilić et al. 2013; this paper). Distribution. Europe except its north, Asia Minor, Mt. Caucasus, Transcaucasian area. Distribution in Serbia. N (V), W, C, E, and S (including K) (2; 5; 9; 10; 17; 21–23; 25; 43; 53; 54; 59; 60; 62; 68; 76; 80). Remarks. Widespread and frequent in Serbia, found in huge amounts on flowers at different altitudes at numerous locations. 62. Pachytodes erraticus erraticus (Dalman, 1817) Examined material. 10 S, South Banat D, Vršačko Brdo Hill, 30.VI.1990, NI; 25 S, idem, 24.VI.2005, NI; 1 S, idem, 17.VI.2006, NI; 10 S, Pomoravlje D, Kučajske Planine Mts., Babina Glava, 22.VII.1990, NI; 4 S, Pomoravlje D, Svilajnac, Baćica Hill, 26.V.1992, NI; 2 S, idem, 19.V.1994, NI; 11 S, Bor D, Tekija, 16.VI.1993, NI; 2 S, idem, 27.V.1994, NI; 5 M, 2 F, idem, 27.V.1995, NI; 4 M, 7 F, idem, 10.VI.2011, NI; 7 S, idem, 23.VI.2014, NI; 2 F, Zaječar D, Mt. Rtanj, village of Rtanj, 07.VI.1997, NI; 2 M, 3 F, idem, 05.VI.2001, NI; 2 S, City of Belgrade D, Belgrade, Mt. Avala, 22.VI.2000, SĆ; 1 S, Rasina D, Aleksandrovac, village of Ploča, 07.VII.2000, BR; 1 S, City of Belgrade D, Belgrade, Vidikovac, 0 2–31.V.2005, NI; 9 S, idem, 0 9–14. VI.2013, NI; 6 S, Zlatibor D, Mt. Tara, Predov Krst, 10–25.VI.2006, NI; 1 S, idem, 25.VI–12.VII.2006, NI; 1 S, Zlatibor D, Sjenica, 21– 31.VII.2007, MČ; 1 S, City of Belgrade D, Barajevo, Guberevac Forest, 16.V.2013, NI; 2 S, Braničevo D, Krepoljin, 12.V.2013, NI; 8 S, Bor D, Donji Milanovac, Mt. Liškovac, Oman, 620 m a.s.l., 25.V–21. VI.2013, NI; 4 S, Kolubara D, Mt. Povlen, village of Donji Taor, 950 m a.s.l., 0 5–15.VII.2013, NI (Ćurčić et al. 2003; Ilić 2005; Ilić & Ćurčić 2013; Ilić et al. 2013; this paper). Distribution. Central and Southern Europe, Asia Minor, Mt. Caucasus, Transcaucasian area, Iran. Distribution in Serbia. N (V), W, C, E, and S (2; 9; 10; 14; 17; 21–23; 25; 43; 48; 53; 54; 56; 59; 60; 62; 68; 75; 76; 80). Remarks. It can be found in huger amounts at some localities. Usually occurs on flowers.

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)0.001
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 score0.015
Threshold uncertainty score0.035

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.001
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0020.001
Science and technology studies0.0010.000
Scholarly communication0.0010.001
Open science0.0000.001
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0110.004

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 head0.041
GPT teacher head0.250
Teacher spread0.209 · 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
Published2015
Admission routes1
Has abstractyes

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Same venueZenodo (CERN European Organization for Nuclear Research)Same topicVector-borne infectious diseasesFrench-language works237,207