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Record W3197040516 · doi:10.11646/phytotaxa.518.4.5

Molecular studies of Iranian populations support the morphology-based taxonomic separation of Medicago rigidula and M. rigiduloides

2021· article· en· W3197040516 on OpenAlex
Mitra Bayat, Mostafa Assadi, Ernest Small, Iraj Mehregan

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.

Bibliographic record

VenuePhytotaxa · 2021
Typearticle
Languageen
FieldAgricultural and Biological Sciences
TopicMycorrhizal Fungi and Plant Interactions
Canadian institutionsAgriculture and Agri-Food Canada
Fundersnot available
KeywordsBiologyGenetic diversityEvolutionary biologySelfingPopulationMedicagoZoologyGeneticsDemographyGene

Abstract

fetched live from OpenAlex

A comprehensive study was undertaken to understand the genetic status and help to clarify the division of Medicago rigidula (largely European) and Medicago rigiduloides (largely Asian). Genetic diversity parameters collectively suggested a low genetic diversity (avg. Ho, 0.073; He, 0.374) accompanied by high population differentiation (avg. F, 0.832; Gst, 0.362). Structure analysis divided 71 individuals (14 Iranian populations) into two highly distinct genetic groups (K=2) with significant genetic homogeneity. It also indicated the strong effect of the selfing mating-system as the main reason for the genetic diversity status and population structure. The population grouping was strongly confirmed by various clustering methods. Populations from north and northwestern Iran made up a distinctive genetic group corresponding to M. rigidula while the second group corresponding to M. rigiduloides harboured the western and two of the northwestern populations. The outcomes of this study provide the first reliable molecular evidence supporting the M. rigidula-M. rigiduloides separation previously suggested by morphology.

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.

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 categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Bench or experimental · Consensus signal: Bench or experimental
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.339
Threshold uncertainty score0.642

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 studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0010.000

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 head0.045
GPT teacher head0.295
Teacher spread0.250 · 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