Additional file 3 of Developing Chenopodium ficifolium as a potential B genome diploid model system for genetic characterization and improvement of allotetraploid quinoa (Chenopodium quinoa)
Bibliographic record
Abstract
Additional file 3: Table S1-C: Evaluation of flowering time difference between Portsmouth and Quebec accessions. Table S2. Goodness of fit tests. Chi-Square Goodness of fit tests for segregation of FTL1 genotypes, A1A1, A1A2, and A2A2 among the F2 populations of 1st and 2nd experiment. The table also shows the results for the Chi-Square homogeneity tests on the F2 populations of the two experiments. Table S3. BLASTn result of all FTL amplicons to the Cq_PI614886_V1 chromosome assembly of quinoa. Table S4. T-tests. T-Test (Independent sample with unequal variance) results for comparison between P and QC accessions for flowering time, plant height, number of branches, branch angle, and internode length in the two experiments. The mean (de-transformed), df, t-ratio, and the p-value of each test is included. Table S5. Multivariate correlation analysis of traits phenotyped in 1st and 2nd experiments. Table S6. Pairwise t-tests on FTL1 genotypes of 1st and 2nd experiments. Table S7. Unique SNPs identified in C. ficifolium accessions, Portsmouth and Quebec, in reference to FTL1 gene in B-subgenome of quinoa.
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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 | 0.001 | 0.008 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.002 | 0.001 |
| Bibliometrics | 0.002 | 0.003 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.002 | 0.002 |
| Open science | 0.003 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.780 | 0.180 |
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".