Additional file 1 of Author Correction: Microbial community dynamics and coexistence in a sulfide-driven phototrophic bloom
Bibliographic record
Abstract
Additional file 1. Supplementary Materials, Methods and Results. Figure S1.Natural blooms in Trunk River. Figure S2.Color and appearance ofsamples from all holes, depths, and timepoints. Figure S3.Filters thatwere used for biomass measurements and spectral analysis. Figure S4.Total cell count of three samples (A2, A7 and K7). Figure S5. Depthprofile representation of chemical data presented in Fig.2. Figure S6. Physicochemistry. Iron, nitrate, ammonium, acetate, Ca2+, and K+measurements. Figure S7. Individual diversity indices of all samples. Figure S8. Trajectories of community structure in hole A, E and K. Figure S9. Relative sequence abundance of the 20 most abundant clades onphylum, class, order, family and genus level, as well as the 20 mostsequence abundant ASVs (amplicon sequence variants). Figure S10.Relative sequence abundance of Chlorobiales ASVs. Figure S11.Relativechange of ASV abundance between surface (V1) and deeper layers (V2-4). Figure S12.Chlorobiales phylogeny. Figure S13. Circular map ofmetagenome-assembled genomes (MAGs). Figure S14. Chlorobiales phy-logenomics. Figure S15. Protein comparison of Bin 6. Figure S16.Pro-tein comparison of Bin 10. Figure S17. Genes involved in sulfurcycling. Figure S18. CRISPR arrays and cas genes predictions Bin 6.Figure S19. CRISPR arrays and cas genes predictions Bin 10. Figure S20. Relative sequence abundance of viral family-level clades. Table S1. Over-view of sequencing output and diversity indices. Table S2. Genome sta-tistics. Table S3. Average nucleotide identity (ANI) comparisons. Table S4. Oxidative phosphorylation and chlorophyll biosynthesis genes of Bin6 and Bin 10. Table S5. CRISPR-Cas system information for eachmetagenome-assembled 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 | 0.004 | 0.071 |
| Meta-epidemiology (narrow) | 0.003 | 0.001 |
| Meta-epidemiology (broad) | 0.003 | 0.002 |
| Bibliometrics | 0.004 | 0.007 |
| Science and technology studies | 0.002 | 0.001 |
| Scholarly communication | 0.004 | 0.004 |
| Open science | 0.004 | 0.003 |
| Research integrity | 0.002 | 0.002 |
| Insufficient payload (model declined to judge) | 0.888 | 0.288 |
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".