Additional file 1 of Toward in vivo proof of binding of 18F-labeled inhibitor [18F]TRACK to peripheral tropomyosin receptor kinases
Bibliographic record
Abstract
Additional file1. Fig. S1. Brain uptake of [18F]TRACK in control and 50% TrkB knockout mice from dynamic PET experiments. Representative images at 30 min post injection and time-activity curves over 120 min time course; Fig. S2. TrkA and TrkB protein expression in mouse brain. Immunohistochemical staining in slices from a KM12 tumor bearing athymic mouse and a control wild-type B619SF2/J mouse; Fig. S3. Uptake of [18F]TRACK into brown adipose tissue (BAT). Time activity curves for BAT tissue in control wild-type B6129SF2/J mice and B6129S2-Ntrk2tm1Bbd/J 50% TrkB knockout mice over 120 min time course. Fig. S4. Muscle uptake of [18F]TRACK in KM12 tumor bearing mice. Effect of 15 mg/kg amitriptyline on the time-activity curve over 60 min time course. Fig. S5. Original full gel for the protein expression of TrkA and TrkB. Data are shown in samples from KM12 tumor tissue, brown adipose tissue (BAT), white adipose tissue (AT) and the whole brain from KM12-tumor bearing mice, control wild-type B6129SF2/J mice and B6129S2-Ntrk2tm1Bbd/J 50% TrkB knockout mice.
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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 | 0.019 |
| Meta-epidemiology (narrow) | 0.002 | 0.001 |
| Meta-epidemiology (broad) | 0.002 | 0.001 |
| Bibliometrics | 0.002 | 0.002 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.002 | 0.002 |
| Open science | 0.003 | 0.001 |
| Research integrity | 0.002 | 0.001 |
| Insufficient payload (model declined to judge) | 0.907 | 0.279 |
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".