Raw proteomics data for Multi-Omics Analysis Reveals Diapause-Associated Lipid Remodeling in the Fat Body of Colorado Potato Beetle
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
<b>Proteomics</b>Proteins were extracted using 2.5% sodium dodecyl sulfate, 5% β-mercaptoethanol, and subjected to in-solution digest liquid chromatography-tandem mass spectrometry (LC-MS/MS) analysis at the University of Victoria Genome British Columbia Proteomics Centre, Canada. Samples were denatured, reduced, alkylated, and digested using a Preomics iST Sample Preparation kit (Preomics GmbH, Martinsried, Germany) according to the manufacturer's protocol. Samples were re-suspended in Load buffer at a concentration of 1 µg/µL.<br>Peptide mixtures (~1 µg) were separated by on-line reverse phase chromatography using a Thermo Scientific EASY-nLC 1000 system with a reversed-phase pre-column and an in-house prepared reverse phase nano-analytical column, coupled on-line with an Orbitrap Fusion Tribrid mass spectrometer (Thermo Fisher Scientific, San Jose, CA) equipped with a Nanospray Flex NG source. Solvents used were 2% acetonitrile, 0.1% formic acid (Solvent A), and 90% acetonitrile, 0.1% formic acid (Solvent B). Samples were separated by a 140-minute gradient and analyzed using the Orbitrap Fusion instrument with specified parameters for iontrap (IT-MS/MS) with HCD fragmentation. Raw data files were generated using XCalibur 4.2.28.14 (Thermo Scientific) software and analyzed with Proteome Discoverer 2.2.0.388 software suite (Thermo Scientific).
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.
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 | 0.001 | 0.003 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.002 | 0.001 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.008 | 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 it