Bibliographic record
Abstract
This Industry Update covers the period 1–31 March 2014 and is based on information sourced from company press releases, scientific literature, patents and various news websites. This month saw some significant commercial activity with Baxter (IL, USA) announcing a split, Corium an initial public offering and Vectura a major acquisition, which both expands its development pipeline and also gives it access to another inhalation device platform. A number of technologies are under development that enable the transfer of drugs across the blood–brain barrier and MedImmune (MD, USA) continued its interest in the area by announcing a new deal with BiOasis (Vancouver, Canada). In another drug-delivery deal, Caisson (TX, USA) announced an expansion of its HEPtune collaboration with Novo Nordisk (Bagsværd, Denmark). Clinical progress was reported by Arrowhead Research Corporation for its RNAi therapeutic for the treatment of chronic hepatitis, which began a Phase IIa study, and Ocular Therapeutix (MA, USA) embarked on its Phase III clinical program to evaluate the safety and efficacy of its dexamethasone formulation. In the regulatory arena, the US FDA approved oral treatment from Celegene (NJ, USA) for psoriatic arthritis and Avanir (CA, USA) announced the FDA has accepted its new drug application for a nasally delivered sumatriptan for the treatment of migraine. A paper in Nature described an 'on-skin' system that can monitor patients, deliver drugs and communicate data. A paper published by a group form University of Illinois (IL, USA) described a biodegradable battery that could be used to power implanted devices used to deliver drugs.
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 | 0.003 | 0.013 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.004 | 0.003 |
| Science and technology studies | 0.002 | 0.001 |
| Scholarly communication | 0.008 | 0.005 |
| Open science | 0.003 | 0.003 |
| Research integrity | 0.005 | 0.004 |
| Insufficient payload (model declined to judge) | 0.507 | 0.453 |
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".