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Record W1990981491 · doi:10.1139/z05-174

Classification and phylogeny of Hexactinellida (Porifera)

2006· article· en· W1990981491 on OpenAlexvenueno aff
Henry M. Reiswig

Bibliographic record

VenueCanadian Journal of Zoology · 2006
Typearticle
Languageen
FieldBiochemistry, Genetics and Molecular Biology
TopicMarine Sponges and Natural Products
Canadian institutionsnot available
Fundersnot available
KeywordsBiologyPhylogeneticsGroup (periodic table)Evolutionary biologyClassification schemeSequence (biology)ZoologyPaleontologyInformation retrievalComputer scienceGenetics

Abstract

fetched live from OpenAlex

Development of the present classification scheme of the class Hexactinellida was delayed because authors of the early species descriptions did not figure their specimens and few of them had access to compound microscopes necessary to visualize characters important in determining relationships. When microscopic information on spicule symmetry became available, Wyville Thomson in 1868 recognized the distinctive triaxial symmetry of the group and named it Vitrea. Schmidt's 1870 name, Hexactinellidae, was without the contamination associated with Thomson's Vitrea, and gained widespread support. Through a series of proposals and refinements, the present scheme recognizes two main lineages, Amphidiscophora and Hexasterophora, differing in shape and type of their microscleres. Since these structures are generally not retained in fossil material, paleontologists have long had an independent classification for hexactinellids, but the trend to unify the systems is now nearly complete. Hypotheses on phylogeny of the group remain virtually dependent upon scarce paleontological information, pending data from nucleic acid and protein sequence analyses that are not yet available for unravelling relationships among hexactinellids.

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 categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.651
Threshold uncertainty score0.538

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)0.0000.000

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 head0.008
GPT teacher head0.210
Teacher spread0.202 · 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 teacher head, 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".

Quick stats

Citations27
Published2006
Admission routes1
Has abstractyes

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