Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
Since the conception of this acclaimed series of volumes examining neural tissue culture, the expansion of neuroscience has continued to produce vital discoveries that utilize tissue culture methodologies. The expert contributors to the fourth edition of Protocols for Neural Cell Culture refine existing protocols and present the emerging new techniques and culture media formulations linked with the many advances in neuroscience. While highlighting updated experimental procedures for many of the classical neural tissue culture preps, the volume addresses topics such as regenerative medicine and the methods to grow and expand embryonic and adult neural stem cells. Essential techniques for the isolation, expansion, and cryopreservation of neural tissue from mouse, rat, and human sources are covered, as well as methods to assess aspects of cell function (calcium imaging) and cell death. With its detailed, step-by-step laboratory protocols, this volume provides the kind of detailed description and implementation advice that is crucial for getting optimal results. Authoritative and cutting-edge, Protocols for Neural Cell Culture, Fourth Edition continues the previous editions’ tradition of exceptional quality and thorough coverage in tissue culture protocols for today’s neuroscience in order to inspire researchers in the field to further explore this imperative area of study
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.
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.003 | 0.000 |
| Meta-epidemiology (narrow) | 0.003 | 0.003 |
| Meta-epidemiology (broad) | 0.003 | 0.002 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.002 | 0.001 |
| Open science | 0.005 | 0.001 |
| Research integrity | 0.003 | 0.005 |
| Insufficient payload (model declined to judge) | 0.001 | 0.001 |
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 it