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Osteoclasts: characteristics and regulation of formation and activity

2000· book-chapter· en· W111288267 on OpenAlexaff
Johan N.M. Heersche, Morris F. Manolson

Bibliographic record

VenueCambridge University Press eBooks · 2000
Typebook-chapter
Languageen
FieldMedicine
TopicHuman Health and Disease
Canadian institutionsMcGill University
Fundersnot available
KeywordsBusinessCell biologyBiology

Abstract

fetched live from OpenAlex

Bone tissue adapts itself continuously to changing demands during development and growth (modeling) and in response to stress or damage (remodeling). The modeling and remodeling processes involve degradation of bone tissue by large multinucleated cells, called osteoclasts, and synthesis and deposition of new bone by mononuclear cuboidal cells lining bone, called osteoblasts. A close anatomical and functional relationship exists between resorptive and formative cells at discrete remodeling sites called ‘basic multicellular units of bone remodeling’ or BMU (Frost, 1966). This is, in all likelihood, responsible for the phenomenon in which treatments of metabolic bone disease developed to inhibit resorption often result in simultaneous inhibition of formation. The mechanism(s) whereby the actions of the resorbing osteoclasts and the bone forming osteoblasts are co-ordinated are not yet clear. Nevertheless, striking progress has been made in our understanding of osteoblast—osteoclast interaction with regard to regulating osteoclast formation.

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: Not applicable · Consensus signal: none
GenreCandidate signal: Other · Consensus signal: Other
Teacher disagreement score0.945
Threshold uncertainty score0.669

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 head0.021
GPT teacher head0.219
Teacher spread0.198 · 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 designNot applicable
Domainnot available
GenreOther

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

Citations1
Published2000
Admission routes1
Has abstractyes

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