Bibliographic record
Abstract
Raw Image data that were analysed to be presented in Figure 6. If image data is not of interest, see https://doi.org/10.5683/SP2/0SHJNT where we uploaded the final data plotted in Figure 6. Here see "Figure6_SummarizeColocImageData.xlsx" for summary of Image data including cell line used, BH3 mimetics tested and size of datasets. This helps navigate the subfolders to find the images of interest. Data was organised by date of the experiment. Within each folder see, '.Tiffs' exported from PerkinElmer Harmony software. Files names for example "r02c02f01p01-ch1..." indicating the image is from row 2, column 2, field of view 1, position 1 and channel 1. Within each folder see "Analysis" Sub folder where one can find: -"SaveImagingConfiguration.xlsx" where we saved the imaging settings from the Phenix microscope. The objective lens, excitation/emission settings for channels 1,2,3,4 (in order that they appear), and number of fields of view acquired for that experiment can be found here. -.xlsx file with "platemap" included in filename. Shows detailed map of Cells/Treatment within 384 well plate. Use Row/Column information to navigate the image data. -Subfolder labelled "CP_results" : include results the object-level (single cell) results exported from Cell Profiler. These data were plotted separately in GraphPad Prism (see .pzf file) to determine the states o from each replicate. Then, median values were plotted in Figure 6 from 3+ replicates. See "Figure6_CombinedFinalColocResults.xlsx" where we combine the final results ultimately plotted in Figure 6.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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 | 0.016 |
| Meta-epidemiology (narrow) | 0.003 | 0.002 |
| Meta-epidemiology (broad) | 0.002 | 0.002 |
| Bibliometrics | 0.005 | 0.006 |
| Science and technology studies | 0.003 | 0.001 |
| Scholarly communication | 0.006 | 0.004 |
| Open science | 0.003 | 0.004 |
| Research integrity | 0.003 | 0.003 |
| Insufficient payload (model declined to judge) | 0.550 | 0.457 |
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; the direct Gemma label and the distilled Codex classifier agree on what is shown here.
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".