Development of an In-vitro Bioprinted Esophago-Gastric Cancer Platform for Therapy Evaluation and Immuno-Oncology Discovery
Bibliographic record
Abstract
SFT designed, planned, and executed bioprinting, imaging, cell culture, drug testing experiments, and genotyping experiments, acquired, processed data, and wrote the first draft of the manuscript, and edited the manuscript afterwards.OPC executed bioprinting, 3D cell culture, cell viability experiments, acquired and processed data.HK developed the GP-118 and other organoids from PDXs established in the lab of MP.JGML executed cell culture and assay experiments, acquired and processed data.JKM contributed to image analysis and statistical data results.TJ assisted in characterizing biomaterial printability.LF provided patient samples and clinical expertise for the study.CVR provided cell lines and expertise in 3D cell biology techniques.MP provided cell lines and expertise in 3D cell biology techniques.VS co-supervised this work, contributed to the experimental design and data processing.
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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 | 0.000 | 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 | 0.001 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.003 | 0.002 |
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".