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Record W6913007000 · doi:10.5281/zenodo.7399206

Hypoaspis lubrica Voigts & Oudemans 1904

2022· article· en· W6913007000 on OpenAlexaboutno aff

Bibliographic record

VenueZenodo (CERN European Organization for Nuclear Research) · 2022
Typearticle
Languageen
FieldEnvironmental Science
TopicAquatic Invertebrate Ecology and Behavior
Canadian institutionsnot available
Fundersnot available
KeywordsDistribution (mathematics)GenusPopulationPathogenicity

Abstract

fetched live from OpenAlex

Hypoaspis lubrica Voigts & Oudemans, 1904 Distribution in Iran – Kordestan Province: Region not mentioned (Maroufpoor et al. 2017; Maroufpoor and Ostovan 2017), Guilan: Kuchesfahan, Fuman, Astaneh, Anzali, Sowme'eh Sara, Khomam, Shaft, Jurkuyeh, Roodsar (Noei 2007; Noei et al. 2008a; Tajmiri and Hajizadeh 2013) Jalalabad (Hajizadeh et al. 2010b, c) Region not mentioned (Ramroodi et al. 2014), Kerman Province: Kerman (Arjomandi et al. 2013), Golestan Province: Region not mentioned, Lorestan Province: Kuhdasht (Heydari et al. 2014a) Khorramabad (Hasanvand et al. 2014a). General distribution– Canada, China, Czech Republic, England, Ireland, Russia, United States, Wales (Hagstrum et al. 2013). Collection place(s) – Wheat, condiment, grain, grain debris, oat (rotting), rice (rotten), wheat, stored rice, rice dust and debris (Noei 2007; Noei et al. 2008a; Hagstrum et al. 2013; Maroufpoor and Ostovan 2017). Hypoaspis sclerotarsus Costa, 1968 Distribution in Iran – Khuzestan Province: Ahvaz (Nemati et al. 2000), Region not mentioned (Habibpour et al. 2002), Alborz Province: Region not mentioned (Keshavarz Jamshidian and Babaeian 2013), Kerman Province: Kerman (Arjomandi et al. 2013), Jiroft (Balooch Shahryari et al. 2011, 2012), Chaharmahal and Bakhtiari Province: Gachsaran (Moradian et al. 2011), Region not mentioned (Babaeian et al. 2010), Shahrekord (KhaliliMoghadam and Saboori 2015), Tehran Province: Tehran, Varamin, Shahr-e Rey, Firouzkooh, Dmavand Region (Baroozeh et al. 2012, 2013) Tehran City, Police Park (Maleki et al. 2016), Khorasan Razavi Province: Mashhad (Abbaspour et al. 2017), Guilan Province: Region not mentioned (Hajizadeh and Joharchi 2018), Roodsar, Anzali, Rice Research Institute of Iran, Khomam, Astaneh (Noei 2007; Noei et al. 2008a), Jalalabad (Hajizadeh et al. 2010b, c), Zanjan Province: Region not mentioned (Naderi et al. 2016; Rahmani and Zare 2011), Fars Province: Sepidan, Homayjan (Maneshi et al. 2012), Larestan (Khadempour et al. 2012) and Marvdasht, Islamic Azad University, Fars Science and Research Branch (Amirazodi and Ostovan 2012; Arabzadeh et al. 2012), Shiraz (Montazeri et al. 2011), Isfahan Province: Shahreza (Kavianpour et al. 2011). General distribution – Egypt (Hagstrum et al. 2013). Collection place(s) – Rice, straw caches, stored rice, flour and barley, alfalfa, bean, astragalus, rice dust and debris (Ostovan 1993; Fathipour 1994; Khanjani 1996; Noei 2007; Noei et al. 2008a; Hagstrum et al. 2013; Naderi et al. 2016).

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 score0.016
Threshold uncertainty score0.032

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 studies0.0020.001
Scholarly communication0.0010.001
Open science0.0010.001
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0070.002

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 head0.026
GPT teacher head0.220
Teacher spread0.194 · 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
Published2022
Admission routes1
Has abstractyes

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