Bibliographic record
Abstract
Classic MIKC-type MADS-box genes (MIKC(c)) play diverse and crucial roles in angiosperm development, the most studied and best understood of which is the specification of floral organ identities. To shed light on how the flower evolved, phylogenetic and functional analyses of genes involved in its ontogeny, such as the MIKC(c) genes, must be undertaken in as broad a selection as possible of plants with disparate ancestries. Since little is known about the functions of these genes in non-seed plants, we investigated the developmental roles of a subset of the MIKC(c) genes present in the moss, Physcomitrella patens, which is positioned informatively near the base of the land plant evolutionary tree. We observed that transgenic lines possessing an antisense copy of a MIKC(c) gene characteristically displayed knocked-down expression of the corresponding native MIKC(c) gene as well as multiple diverse phenotypic alterations to the haploid gametophytic and diploid sporophytic generations of the life cycle. In this addendum, we re-examine our findings in the light of recent pertinent literature and provide additional data concerning the effects of simultaneously knocking out multiple MIKC(c) genes in this moss.
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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 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.003 | 0.004 |
| Insufficient payload (model declined to judge) | 0.019 | 0.008 |
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".