Bibliographic record
Abstract
NRGene delivers first-ever food potato genomes. CMC Biologics announces development and manufacturing agreement with Harpoon Therapeutics. Typhoid vaccine prequalified. Clearbridge BioMedics’ ClearCell FX1 system achieves U.S. FDA listing. Singapore eDevelopment names Dr Roscoe Moore as senior scientific adviser to its biomedical arm. Varian Halcyon treatment system receives Taiwan FDA approval. Cancer Research Institute and Canadian Cancer Trials Group Announce Strategic Collaboration. AGC Bioscience, Biomeva, and CMC Biologics to provide services under the brand AGC Biologics. Illumina Launches iSeq 100 Sequencing System. iGENE Laboratory granted licence by MOH to perform non-invasive prenatal test in Singapore. Clarivate Analytics appoints new president for life sciences division. Watsons partners with ChromaDex, to launch TRU NIAGEN in Singapore. Colorcon, Inc. transforms sugar coating process with new Opadry System. GSK Consumer Healthcare appoints Filippo Lanzi as head for Asia Pacific. Chugai obtains approval for TECENTRIQ for treatment of unresectable, advanced or recurrent non-small cell lung cancer. Historic deal signed between Panacea Biotec and Serum Institute of India. me+ to partner Singapore Clinical Research Institute on new innovative healthcare solutions.
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 | 0.006 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.002 | 0.002 |
| Science and technology studies | 0.002 | 0.001 |
| Scholarly communication | 0.009 | 0.005 |
| Open science | 0.002 | 0.004 |
| Research integrity | 0.004 | 0.003 |
| Insufficient payload (model declined to judge) | 0.835 | 0.823 |
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".