Bibliographic record
Abstract
RESULTSChapter 1 ONSEN transcription was regulated by heat shock transcription factor 1-1. Transcription of ONSEN was activated by heat stress 1-2.New ONSEN copies were activated by multi-generational stress 1-3.ONSEN was activated by high light stress and oxidative stress Chapter 2 ONSEN transcription was activated throughout the plant 2-1.Heat activation of a transgene was regulated by an siRNA-mediated pathway 2-2.Transcriptional suppressor were screened on a transgenic plant 2-3.ONSEN transcription was maintained in callus 2-4.The transcription of ONSEN was not remained in undifferentiated tissues Chapter 3 ONSEN transposition was regulated by an siRNA-mediated mechanism 3-1.A role of Dicer-like proteins in the ONSEN transposition 3-2.The expression level of ONSEN affected the transposition frequency Chapter 4 ONSEN transpositions occurred on reproductive tissue before gametogenesis 4-1.Transgenerational transposition was inherited from both sexes 4-2.Heat stress at a young seedling induced transgenerational transposition 4-3.Transgenerational transposition was independent of flowering time 4-4.Stress memory could be regulated in undifferentiated tissues during plant development DISCUSSION The activation of ONSEN was regulated by a stress-responsible transcriptional factor ONSEN transcription was activated throughout the plant ONSEN transcription was initially regulated by siRNA biogenesis pathway and re-silenced independently of RdDM ONSEN was transposed in reproductive tissue caused by changing chromatin modification initiated by flowering FIGURELEGENDS EXPRERIMENTAL PROCEDURES Plant material and growing conditions Plasmid constructs Plant transformation Genotyping PCR Sequencing TAIL-PCR Fluorescence microscopy Stress treatments
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot 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.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.002 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 0.000 |
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.
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 teacher head, 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".