MétaCan
Menu
Back to cohort
Record W1225024522

Reproductive biology and phylogeny of Cetacea : whales, dolphins, and porpoises

2007· book· en· W1225024522 on OpenAlexaboutno aff
Debra L. Miller

Bibliographic record

VenueScience Publishers eBooks · 2007
Typebook
Languageen
FieldEnvironmental Science
TopicMarine animal studies overview
Canadian institutionsnot available
Fundersnot available
KeywordsBiologyPopulationZoologyAnatomy
DOInot available

Abstract

fetched live from OpenAlex

Preface to the Series-Barrie G. M. Jamieson Preface to this Volume-Debra L. Miller 1. Cetacea: An Historical Overview Giovanni Bianucci and Walter Landini 2. Fossil History Giovanni Bianucci and Walter Landini 3. Classification and Molecular Phylogeny Claudine Montgelard, Emmanuel J. P. Douzery and Jacques Michaux 4. Functional Anatomy of the Cetacean Reproductive System, with Comparisons to the Domestic Dog Sentiel A. Rommel, D. Ann Pabst and William A. McLellan 5. Anatomy with Particular Reference to the Female Stephanie Ploen and Ric Bernard 6. Endocrinology of Reproduction Shannon Atkinson and Motoi Yoshioka 7. Ovary, Oogenesis, and Ovarian Cycle Yutaka Fukui 8. Testis, Spermatogenesis, and Testicular Cycles Stephanie Ploen and Ric Bernard 9. The Mature Cetacean Spermatozoon Debra L. Miller, Eloise L. Styer, Shoichi Kita and Maya Menchaca 10. Fertilization Yutaka Fukui 11. Embryogenesis and Development in Stenella attenuata and Other Cetaceans J. G. M. Thewissen and John Heyning 12. Placental Structure and Comments on Gestational Ultrasonographic Examination Debra L. Miller, Eloise L. Styer and Maya Menchaca 13. Courtship and Mating Behavior Catherine M. Schaeff 14. Reproduction in Relation to Conservation and Commercial Exploitation Aleta A. Hohn, Ruth Y. Ewing and Julia Zaias 15. Population Genetics of Marine Mammals Greg O'Corry-Crowe Index

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)0.000
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: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.036
Threshold uncertainty score0.120

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0010.001
Scholarly communication0.0010.001
Open science0.0000.001
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0360.006

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 head0.018
GPT teacher head0.253
Teacher spread0.235 · 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 designNot applicable
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

Citations22
Published2007
Admission routes1
Has abstractyes

Explore more

Same venueScience Publishers eBooksSame topicMarine animal studies overviewFrench-language works237,207