Study on Relationship Between Stem Characters and Output in Early Janopica Rice of Cold Region
Bibliographic record
Abstract
180 early janopica rice varieties(or lines) were studied in special ecological environment of cold region.The relations of the stem characters and output were discussed systematically.The main results were as follows:In a restricted range,controlling length of 3 rd internode from the top,increasing length of 1 st and 2 nd internode from the top could raise yield and benefit for choosing length of 1 st and 3 rd internode from the top.In configuring internode thickness,increasing based internode thickness based on ensuring the thickness of 1 st internode from the top was beneficial to high-yielding.Adding dry weight of basal internode(DWBI),dry weight of pedicle sheath(DWPS),dry weight of per plant was in favor of high-yielding.Raising biomass by appropriately increasing plant height and pole length might be the direction of super-high rice breeding in the future.DWBI,thickness of 2 nd internode from the top,DWPS and length of panicle neck were enough to stand for the whole amount of information about twelve stem characters when making comprehensive evaluation on stem characters.
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How this classification was reachedexpand
Direct model labels (unvalidated)
Per-model category and study-design labels from the labeling rounds. They are machine output, unvalidated, and the disagreement between models ships as data. No study design here is MEDLINE-validated yet.
| Model arm | Categories | Study design | Confidence |
|---|---|---|---|
| gemma | no category Domain: not available · Genre: Empirical About the Canadian research system: no · About a Canadian topic: no | Observational | medium |
| gpt | no category Domain: not available · Genre: Empirical About the Canadian research system: no · About a Canadian topic: no | Observational | low |
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 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| 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, unvalidatedLabeled directly by 2 models reading the full record.
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".