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Record W2987094699 · doi:10.2307/3515506

Bivalves: An Eon of Evolution. Paleobiological Studies Honoring Norman D. Newell

2000· article· en· W2987094699 on OpenAlexaboutno aff
John C. W. Cope, Paul Johnston, James W. Haggart

Bibliographic record

VenuePalaios · 2000
Typearticle
Languageen
FieldAgricultural and Biological Sciences
TopicMollusks and Parasites Studies
Canadian institutionsnot available
Fundersnot available
KeywordsTaphonomyPaleontologyPaleoanthropologyPaleobiologyCladisticsBiologyGeologyArchaeologyGeographyPhylogenetics

Abstract

fetched live from OpenAlex

Since their origin in the Early Cambrian, the bivalve molluscs have evolved a remarkable variety of forms that reflect their diverse habits through the Phanerozoic Eon. The thirty papers in this volume represent the proceedings of an international symposium on the paleobiology and evolution of the bivalves held at the Royal Tyrrell Museum of Paleontology in Drumheller, Canada, from September 29 through October 2, 1995. An international group of authors, representing a dozen countries, draw on diverse aspects of both fossil and living bivalves, including their forms, functional morphology, morphogenesis, taphonomy, shell microstructure, cladistic relationships, biostratigraphic distributions, and molecular sequences. The result is an authoritative and comprehensive collection of studies dedicated to Dr. Norman D. Newell, an eminent paleontologist whose ongoing contributions to the study of bivalve evolution spans six decades. With more than 200 illustrations and a foreword by renowned paleobiologist and author Stephen Jay Gould, Bivalves: An Eon of Evolution presents a broad spectrum of current research on fossil and living bivalves.

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 machine prediction

Teacher imitation

Not 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.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.001
Version: metacan-v3-hybrid-931329e0061cValidation 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: none
Teacher disagreement score0.013
Threshold uncertainty score0.026

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0010.001
Science and technology studies0.0020.003
Scholarly communication0.0030.004
Open science0.0010.003
Research integrity0.0010.003
Insufficient payload (model declined to judge)0.0030.001

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 head0.047
GPT teacher head0.280
Teacher spread0.234 · 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 source (direct Gemma or distilled Codex), 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

Citations120
Published2000
Admission routes1
Has abstractyes

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