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Record W2169596009 · doi:10.2307/25470669

Marine Invertebrate Genome Sequences and Our Evolving Understanding of Animal Immunity

2008· review· en· W2169596009 on OpenAlex

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

VenueBiological Bulletin · 2008
Typereview
Languageen
FieldImmunology and Microbiology
TopicInvertebrate Immune Response Mechanisms
Canadian institutionsHealth Sciences CentreUniversity of TorontoSunnybrook Health Science Centre
Fundersnot available
KeywordsBiologyDeuterostomePhylumGenomeStrongylocentrotus purpuratusEvolutionary biologyMarine invertebratesImmunityInvertebrateGeneticsComputational biologyPhylogeneticsGeneImmune systemEcology

Abstract

fetched live from OpenAlex

Animal immunity is under intense evolutionary pressure, and the mechanisms that carry out recognition and elimination of pathogens are among the most rapidly evolving genetic systems. It is increasingly apparent that this has led to the emergence of novel molecular mechanisms not only among vertebrates, where immunity is by far best characterized, but also across invertebrate phyla. This propensity for rapid divergence has been a serious obstacle for progress in the field of comparative immunology. The variety of recent genome sequences from marine invertebrates representing new phyla offers a means to move forward in this area. Genome sequences provide much improved sensitivity for the detection of gene homologs and a framework for unbiased computational and experimental searches for novel immune mediators. Furthermore, new genomes now offer a more complete and unbiased view of immunity across bilaterian phyla, especially among deuterostomes. In this review we summarize these findings with particular attention toward immunity in Strongylocentrotus purpuratus, the purple sea urchin, and outline the changing perspective on the evolution of deuterostome immunity.

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)0.001
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Research integrity, Insufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Review · Consensus signal: Review
Teacher disagreement score0.973
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0020.000
Bibliometrics0.0000.000
Science and technology studies0.0000.001
Scholarly communication0.0000.000
Open science0.0010.001
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0020.001

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 head0.112
GPT teacher head0.293
Teacher spread0.181 · 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