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Record W2003922193 · doi:10.1016/s0736-0266(00)90030-5

Growth in width of the metacarpals — an investigation in human fetuses

2001· article· en· W2003922193 on OpenAlexaff
Hans K. Uhthoff, Guy Trudel, Fujio Matsumoto

Bibliographic record

VenueJournal of Orthopaedic Research® · 2001
Typearticle
Languageen
FieldMedicine
TopicBone fractures and treatments
Canadian institutionsUniversity of Ottawa
Fundersnot available
KeywordsAnatomyMetacarpal bonesAppositionFetusSoft tissueMedicineBiologySurgery

Abstract

fetched live from OpenAlex

The process of growth in width of the human hand during fetal life has never been described. Do metacarpals grow concentrically and separation between the bones occurs through expansion of soft tissues? Or is growth eccentric, a process termed drift by Enlow, a relocation in space of organs? Hands of 10 spontaneously aborted fetuses (age range: between 14.5 and 24 weeks of gestation) were examined paying special attention to the bone bark. A thicker bone bark was taken as an indication of growth in that direction. The thickness of the bone bark was measured at the radial and ulnar sides at the level of the proximal and of the distal physes of the second to fifth metacarpals. A ratio of radial over ulnar bone bark thickness (R/U ratio) was calculated. The third metacarpal grew almost concentrically (R/U ratio 1.12 +/- 0.06). The second metacarpal grew in a radial direction (R/U ratio 3.29 +/- 0.19) and the fourth and more so the fifth metacarpal grew in an ulnar direction (R/U ratio 0.70 +/- 0.04 and 0.42 +/- 0.02, respectively). The differences in R/U ratios between every metacarpal were statistically significant for all comparisons P < or = 0.001. Fetal growth in width of the human metacarpals is eccentric and not concentric. It is concluded that during growth in width the metacarpals move away from the midline of the hand and that growth occurs through eccentric bone apposition rather than through soft tissue expansion.

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)0.002
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.005
Threshold uncertainty score0.313

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.001
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 head0.098
GPT teacher head0.403
Teacher spread0.305 · 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

Citations4
Published2001
Admission routes1
Has abstractyes

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