Mouse Embryonic Stem (ES) Cell Neural Differentiation: Identification Of A Substantial Number Of Novel, Uncharacterized, And Disease-Related Expressed Sequence Tags (ESTs) Using Subtraction Cloning
Bibliographic record
Abstract
Conference Abstract| October 01 2000 Mouse Embryonic Stem (ES) Cell Neural Differentiation: Identification Of A Substantial Number Of Novel, Uncharacterized, And Disease-Related Expressed Sequence Tags (ESTs) Using Subtraction Cloning Michael A. Wride; Michael A. Wride 1Department of Biochemistry and Molecular Biology, University of Calgary, 3330 Hospital Drive N.W., Calgary, Alberta, Canada T2N 4N1 Search for other works by this author on: This Site PubMed Google Scholar Fiona C. Mansergh; Fiona C. Mansergh 1Department of Biochemistry and Molecular Biology, University of Calgary, 3330 Hospital Drive N.W., Calgary, Alberta, Canada T2N 4N1 Search for other works by this author on: This Site PubMed Google Scholar Jackie Hance; Jackie Hance 1Department of Biochemistry and Molecular Biology, University of Calgary, 3330 Hospital Drive N.W., Calgary, Alberta, Canada T2N 4N1 Search for other works by this author on: This Site PubMed Google Scholar Gerard Bain; Gerard Bain 1Department of Biochemistry and Molecular Biology, University of Calgary, 3330 Hospital Drive N.W., Calgary, Alberta, Canada T2N 4N1 Search for other works by this author on: This Site PubMed Google Scholar Derrick Rancourt Derrick Rancourt 1Department of Biochemistry and Molecular Biology, University of Calgary, 3330 Hospital Drive N.W., Calgary, Alberta, Canada T2N 4N1 Search for other works by this author on: This Site PubMed Google Scholar Biochem Soc Trans (2000) 28 (5): A456. https://doi.org/10.1042/bst028a456c Views Icon Views Article contents Figures & tables Video Audio Supplementary Data Peer Review Share Icon Share Twitter LinkedIn Cite Icon Cite Get Permissions Citation Michael A. Wride, Fiona C. Mansergh, Jackie Hance, Gerard Bain, Derrick Rancourt; Mouse Embryonic Stem (ES) Cell Neural Differentiation: Identification Of A Substantial Number Of Novel, Uncharacterized, And Disease-Related Expressed Sequence Tags (ESTs) Using Subtraction Cloning. Biochem Soc Trans 1 October 2000; 28 (5): A456. doi: https://doi.org/10.1042/bst028a456c Download citation file: Ris (Zotero) Reference Manager EasyBib Bookends Mendeley Papers EndNote RefWorks BibTex toolbar search Search nav search search input Search input auto suggest search filter All ContentAll JournalsBiochemical Society Transactions Search Advanced Search This content is only available as a PDF. © 2000 Biochemical Society2000 Article PDF first page preview Close Modal You do not currently have access to this content.
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How this classification was reachedexpand
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 | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 0.000 |
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 teacher head, 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".