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Record W6894002146 · doi:10.5281/zenodo.6727953

Reithrodontomys megalotis

2017· article· en· W6894002146 on OpenAlexaboutno aff

Bibliographic record

VenueZenodo (CERN European Organization for Nuclear Research) · 2017
Typearticle
Languageen
FieldEnvironmental Science
TopicAnimal Ecology and Behavior Studies
Canadian institutionsnot available
Fundersnot available
KeywordsSubspeciesCoveHabitatMarshPopulation

Abstract

fetched live from OpenAlex

236. Western Harvest Mouse Reithrodontomys megalotis French: Souris-moissonneuse de |'Ouest / German: Westliche Erntemaus / Spanish: Raton espiguero occidental Other common names: Southern Marsh Harvest Mouse Taxonomy. Reithrodon megalotis Baird, 1858, “between Janos, Sonora [Mexico] and San Luis Springs [New Mexico, USA].” Reithrodontomys megalotis is in subgenus Reithrodontomys. Fifteen subspecies recognized. Subspecies and Distribution. R.m.megalotisBaird,1858—fromextremeSCBritishColumbia(Canada)SthroughtheWthirdoftheUSAtoMichoacanState(CMexico). R.m.alticolusMerriam,1901—EGuerreroandOaxacastates(SCMexico). R.m.amolesA.H.Howell,1914—knownonlyfromthetypelocalityandsurroundingareainSierraGorda,QuerétaroState,CMexico,atanelevationofabout2285m. R.m.arizonensis].A.Allen,1895—knownonlyfromthetypelocalityinChiricahuaMts,SEArizona,USA,atanelevationofabout2440m. R.m.aztecus|].A.Allen,1893—SEUtah,SColorado,SWKansas,NEArizona,N&CNewMexico,NWTexas,andOklahomaPanhandle(USA). R.m.catalinaeElliot,1904—SantaBarbaraI,California(USA). R.m.distichlisvonBloeker,1937—smallregionofWCCalifornia(USA). R.m.dycheiJ.A.Allen,1895—fromSEAlbertaandSWSaskatchewan(Canada)EtoSWWisconsin,WCIndiana,andMissouri,andStoNEColorado,Kansas,andNEArkansas(USA). R.m.hooperiGoodwin,1954—knownonlyfromthetypelocalityandsurroundingareainWCTamaulipasState(NEMexico). R.m.limicolavonBloeker,1932—knownonlyfromthetypelocalityandsurroundingareainSWCalifornia(USA). R.m.longicaudusBaird,1858—SWWashingtonandWCalifornia(USA)andNWBajaCaliforniaState(NWMexico). R.m.peninsulaeElliot,1903—NBajaCaliforniaState(NWMexico). R.m.ravusGoldman,1939—knownonlyfromthetypelocalityandsurroundingareainNUtah(USA). R.m.santacruzaePearson,1951—SantaCruzI,California(USA). R. m. saturatusJ. A. Allen & F. M. Chapman, 1897 — from Coahuila and Nuevo Leon S to México, Morelos, Puebla, and Veracruz states (Mexico). Descriptive notes. Head-body 63-74 mm, tail 55-96 mm, ear 10-16 mm, hindfoot 14-20 mm; weight 8-13 g. The Western Harvest Mouse is small. Dorsum is light brown or grayish to blackish at base, with buffy tips. Venter is dark buff to white, often with buffy pectoral spot. Tail is bicolored and equal to head-body length. Habitat. Widespread in various habitats ranging from pine-oak forests to natural grasslands at elevations 76 m below sea level in Death Valley, California (USA) to 4000 m. In forested areas, Western Harvest Mice are typically found in areas covered with grass, weeds, and shrubs. Food and Feeding. The Western Harvest Mouse is mainly granivorous but occasionally eats plant material and invertebrates. Breeding. Males tend to be polygamous. Offspring are born in spherical nests ¢.12 cm in diameter, constructed with grass and other vegetation. Gestation is c.5 days. Litters have 1-9 young. Young are altricial birth and are weaned after c.25 days. Activity patterns. The Western Harvest Mouse is nocturnal and mainly terrestrial. Movements, Home range and Social organization. Home ranges are large at ¢.3500 m?. Generally, densities are 4-11 ind/ha but in exceptionally good years can increase to 60 ind/ha. In central Mexico, densities of 0-7-15-8 ind/ha have been reported in open areas and fields. Status and Conservation. Classified as Least Concern on The IUCN Red List. Bibliography. Allen (1893, 1895a), Allen & Chapman (1897a), Baird (1858), Bell et al. (2001), von Bloeker (1932, 1937), Ceballos & Galindo (1984), Elliot (1903b, 1904a), Fa et al. (1990), Fisler (1965), Goldman (1939), Goodwin (1954), Gray (1943), Hall (1981), Hood et al. (1984), Hooper (1952a), Howell (1914), Long (1962), Merriam (1901b), Meserve (1976), Pearson (1951b), Sanchez (1993), Sanchez & Oliva (2014c), Webster & Jones (1982), Whitford (1976).

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 score0.007
Threshold uncertainty score0.018

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 communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0050.002

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 head0.044
GPT teacher head0.269
Teacher spread0.225 · 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
Published2017
Admission routes1
Has abstractyes

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