Supplemental Experimental Procedures Mutant Mouse Generation
Bibliographic record
Abstract
Genomic DNA clones used in the construction of all 3 mouse lines were isolated from the 129/Svj mouse genomic DNA BAC library (Invitrogen). Genomic DNA fragments of interest were subcloned in pBluescript and targeting vectors were constructed based on information from mouse genomic DNA databases. PICK1 KO and GluR2∆7 KI mice were generated as previously detailed (Gardner et al., 2005). GluR2 K882A KI mice were generated using a strategy very similar to that for GluR2∆7 KI mice. Targeting vectors were constructed with thymidine kinase genes for negative selection and neomycin resistance cassettes for positive selection. Mutagenesis was performed in pBluescript using the QuikChange method (Stratagene) and verified by sequence analysis. Linearized targeting vectors were electroporated into R1 embryonic stem (ES) cells (Dr. A. Nagy, Mount Sinai Hospital, Toronto, Canada) and homologous recombinants were isolated by positive and negative selection with G418 and gancyclovir, respectively. ES cell clones were screened by PCR designed to detect only homologous recombination events (Gardner et al., 2005). After Southern blot confirmation, ES cell clones were injected into C57BL/6 blastocyts to obtain chimeras at
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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 | 0.002 |
| Meta-epidemiology (narrow) | 0.003 | 0.001 |
| Meta-epidemiology (broad) | 0.002 | 0.002 |
| Bibliometrics | 0.005 | 0.002 |
| Science and technology studies | 0.003 | 0.001 |
| Scholarly communication | 0.002 | 0.001 |
| Open science | 0.004 | 0.001 |
| Research integrity | 0.004 | 0.003 |
| Insufficient payload (model declined to judge) | 0.171 | 0.059 |
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".