Human Islet Purification - COBE setup v1
Bibliographic record
Abstract
Open centrifuge latch by rotating clockwise, remove metal seal weight, and open sliding covers.Remove locking cover by rotating counter clockwise while holding up locking pin.Remove white alignment blocks, small plastic cover, and foam insert.Feed sterile cell processing bag through centre hole of locking cover.Install bag in centrifuge bowl by aligning holes in bag over studs on bowl.Spread bag out evenly in attempt to eliminate creases.Place white alignment blocks with bevelled end facing up around center stem of bag.Place locking cover around blocks and over studs.Rotate cover clockwise until locking pin drops into place.Close sliding covers, place metal seal weight on hexagonal seal of cell processing bag and close centrifuge latch by rotating counter clockwise.Clamp all bag lines near manifold with haemostats, except for top left or right line depending on pump orientation.Support main bag line upright by placing all clamped lines through pinch valves on COBE 2991 Place end of main line in Biosafety Cabinet, remove line cap and connect to end of COBE connector tubing.IMG_6756.jpgIMG_6758.jpg 3 Open sterilized gradient maker set and place sterilized stir bar in front beaker of gradient maker Place assembled gradient maker set on top of magnetic stir plate.Clamp tubing between beakers with haemostats.Place section of the COBE connector tubing through Masterflex pump with open end of tubing facing adjacent COBE 2991, and close latch.IMG_6757.jpgIMG_6756.jpg 4 Open two packages of sterile 250 mL conical tubes and place into 250 mL racks.Purge Install COBE tubing/bag set install gradient maker Prepare tissue collection conical tubes protocols.
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 | 0.002 | 0.003 |
| Meta-epidemiology (narrow) | 0.003 | 0.002 |
| Meta-epidemiology (broad) | 0.003 | 0.002 |
| Bibliometrics | 0.002 | 0.002 |
| Science and technology studies | 0.002 | 0.001 |
| Scholarly communication | 0.002 | 0.001 |
| Open science | 0.003 | 0.003 |
| Research integrity | 0.002 | 0.005 |
| Insufficient payload (model declined to judge) | 0.137 | 0.147 |
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".