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Record W6949973235 · doi:10.5281/zenodo.6050179

Macrobiotus occidentalis Kaczmarek 2017, sensu lato

2017· article· en· W6949973235 on OpenAlexaboutno aff

Bibliographic record

VenueZenodo (CERN European Organization for Nuclear Research) · 2017
Typearticle
Languageen
FieldAgricultural and Biological Sciences
TopicTardigrade Biology and Ecology
Canadian institutionsnot available
Fundersnot available
KeywordsSensuHolarcticMossLichenTaxonomy (biology)Taxon

Abstract

fetched live from OpenAlex

132. Macrobiotus occidentalis Murray, 1910 sensu lato [T] Macrobiotus occidentalis J. Murray 1910, Macrobiotus occidentalis J. Murray 1910 betschârensis nov. var. (Rahm 1936) Macrobiotus occidentalis J. Murray 1910 (da Cunha & do Nascimento 1964) Terra typica: British Columbia (Canada, North America) Angola: • 07°47′S, 15°01′E; 650 m asl: Uíge Province, near Carmona [Uíge], Estate at Pumba Loge, lichens. da Cunha & do Nascimento (1964) • 15°01′S, 13°22′E; 1,950 m asl: Huíla Province, Sá da Bandeira [Lubango], Boca da Humpata, lichens. da Cunha & do Nascimento (1964) Israel and Palestinian National Authority: • 31°47′N, 35°15′E; 800 m asl: Judean Mountains, Jerusalem, Olives Mt., Pater Noster church, Russians tower, wall of church, moss (Syntrichium sp.) or lichen (Xanthoria parietina). Rahm (1936) • 31°46′N, 35°13′E; 800 m asl: Undefined locality, “Betschar bei Kilometer 22”, moss (Syntrichium sp.) or lichen (Xanthoria parietina). Rahm (1936) Tanzania: • 03°12′S, 37°31′E; ca. 2,500 m asl: Kilimanjaro Region, Kilimanjaro National Park, Maranda [Mandara] trail, tree line, benthos sample from river. Van Rompu et al. (1991a) Record numbers. Angola: 2, Israel and Palestinian National Authority: 2, Tanzania: 1; total: 5. Remarks. Macrobiotus occidentalis sensu lato is largely Holarctic (McInnes 1994), with a few southern hemisphere reports. The possibility of a species complex would indicate these African specimens should be reexamined.

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 distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesScience and technology studies, Insufficient payload (model declined to judge)
Consensus categoriesInsufficient payload (model declined to judge)
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.241
Threshold uncertainty score0.996

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0050.000
Scholarly communication0.0010.000
Open science0.0010.001
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0150.010

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 head0.047
GPT teacher head0.240
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; both teacher heads agree on what is shown here.

Study designNot applicable
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
Published2017
Admission routes1
Has abstractyes

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