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Record W6920790546 · doi:10.6084/m9.figshare.24934262

Additional file 1 of Thrombolytic therapy based on lyophilized platelet-derived nanocarriers for ischemic stroke

2024· article· en· W6920790546 on OpenAlexaff

Bibliographic record

VenueFigshare · 2024
Typearticle
Languageen
FieldMaterials Science
TopicNanoparticle-Based Drug Delivery
Canadian institutionsMcGill University
Fundersnot available
KeywordsCalibrationTable (database)CytotoxicityIn vitroCalibration curveNanocarriersCD47

Abstract

fetched live from OpenAlex

Additional file 1: Figure S1: DLS graphs (in number) of CSM, CSM@rtPA and lyophilized CSM@rtPA. Table S1: Mean average hydrodynamic diameter and PDI values obtained by DLS measurements. Figure S2: NTA graphs of CSM, CSM@rtPA and lyophilized CSM@rtPA. Table S2: Mean average size and concentration values obtained by NTA measurements. Figure S3: SEM micrographs of the samples after uranyl acetate staining. Figure S4: Calibration curves of protein concentration (Bradford assay) and rtPA labeled with FITC. Figure S5: CSM and CSM@rtPA dispersions analysis by flow cytometry. Figure S6: Surface characterization of CD42 and CD47 markers in platelet and CSM samples by flow cytometry. Figure S7: proteolytic activity of free and encapsulated rtPA determined by a chromogenic substrate. Figure S8: In vitro cytotoxicity of CSM and CSM@rtPA.

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 imitation

Not 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.

metaresearch head score (Codex)0.002
metaresearch head score (Gemma)0.027
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesInsufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Other · Consensus signal: none
Teacher disagreement score0.914
Threshold uncertainty score0.123

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0020.027
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0020.001
Bibliometrics0.0020.002
Science and technology studies0.0010.000
Scholarly communication0.0020.002
Open science0.0020.001
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.9140.239

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.

Opus teacher head0.026
GPT teacher head0.248
Teacher spread0.221 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.

Study designNot applicable
Domainnot available
GenreOther

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".

Quick stats

Citations0
Published2024
Admission routes1
Has abstractyes

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