Bibliographic record
Abstract
This study examined genetic variation among three populations of C.ogmorhini and C.margolisi from different otariid hosts and geographical locations, namely, one C.ogmorhini population from Arctocephalus pusillus pusillus (CoAPP) from South Africa, another from Arctocephalus pusillus doriferus(CoAPD) from Australia, and one C.margolisi population from Zalophus californianus(CoZC) from Pacific Canada, using a polymerase chain reaction (PCR)-based mutation detection approach.A portion of the large subunit of ribosomal RNA (rrnL) gene in mitochondrial DNA (mtDNA) was amplified from individual nematodes by PCR, analysed by single-strand conformation polymorphism (SSCP), and samples displaying variable SSCP profiles were subjected to sequencing.The results showed that polymorphism existed in SSCP profiles of rrnL among different samples of CoAPP, CoAPD and CoZC.The difference in SSCP profiles between CoAPP and CoAPD was not significant, whereas the difference between CoZC and CoAPP/CoAPD was relatively distinct.Sequence analysis revealed that the nucleotide similarity between CoZC and CoAPP/CoAPD was lower than that between CoAPP and CoAPD.Two genetic markers were defined for the differentiation between CoZC and CoAPP/CoAPD.These findings confirmed that C.ogmorhini from the northern and southern hemisphere does represent a complex of two species (i.e., C.ogmorhini and C.margolisi), and rrnL could provide a genetic marker for the specific identification and differentiation of C. ogmorhini complex.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot 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.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 0.000 |
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.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
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".