Human chromosome 7 circa 2004: a model for structural and functional studies of the human genome
Bibliographic record
Abstract
Human chromosome 7 is arguably amongst the most comprehensively characterized segments of the human genome. By microscopic examination, it belongs to the medium-sized group C submetacentric class, and historical studies involving chromosome-length measurements estimated that it accounts for approximately 5.3% of the human genome (or 160 Mb). Early successes in molecular genetics led to the identification of some of its biomedically important genes, including the T-cell receptor and homeobox families as well as the erythropoietin and cystic fibrosis genes. The Human Genome Project brought chromosome 7-specific and genome-wide initiatives, generating a wealth of genomic resources that have revealed the presence of over 350 disease-associated genes. Two distinct assemblies of the chromosome 7 sequence have been generated-one based largely on mapped large-insert clones and the other based on an integrated whole-genome shotgun sequencing strategy. These two sequences are mainly identical (<1% difference), and both estimate the unit length of chromosome 7 to be just over 158 Mb, remarkably similar to the originally predicted size. Systematic annotation efforts have anchored to the sequence, amongst many features, over 900 known genes and some 1000 other gene structures, as well as over 650 chromosomal breakpoints identified in patients with characterized phenotypic differences. Chromosome 7 has also been shown to contain the highest content of intra-autosomal segmental duplications in the human genome. The orthologous regions of roughly 22 Mb of chromosome 7 are currently being sequenced in multiple other vertebrate species. Examining these comparative sequence data, in conjunction with the other accumulating genomic information about these regions and the rest of the chromosome, should provide a model for the next generation of structural and functional analyses of the human genome.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot 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.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.001 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.002 | 0.004 |
| Science and technology studies | 0.001 | 0.002 |
| Scholarly communication | 0.003 | 0.002 |
| Open science | 0.002 | 0.001 |
| Research integrity | 0.002 | 0.002 |
| Insufficient payload (model declined to judge) | 0.015 | 0.015 |
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.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
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".