Antibody Characterization Report for SLC22A14
Bibliographic record
Abstract
This article presents antibody characterization data that can be utilized as a guide to select high-performing antibodies for Solute carrier family 22 member 14 (SLC22A14), encoded by the SLC22A14 gene. Six commercial human or mouse reactive antibodies were evaluated by western blot following a standardized protocol which compares read-outs in isogenic parental controls and knockout cell lines. The antibodies were tested by western blot on WT and SLC22A14 KO from mice testis to recognize mouse SLC22A14 as well as a SLC22A14 overexpression line from RESOLUTE consortium to recognize human SLC22A14. Thank you to Dr. Keiichiro from Yogo Shizuoka University, Japan for donating the mouse testis lysates. We'd also like to thank the Bill and Melinda Gates Foundation for their support and nomination of this target as well as the Structural Genomics Consortium for coordinating this study.
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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 | 0.002 |
| Meta-epidemiology (narrow) | 0.002 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.002 | 0.002 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.022 | 0.029 |
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".