ArticleACS omega2025
Early and Noninvasive Bird Gender Identification by ATR-FTIR Spectra Coupled with a Randon Forest Algorithm.
Article in ACS omega, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.
What it found
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
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Who cites it
1 citing paper in PubMed.
- Machine Learning-Enhanced Evaluation of Handheld Laser-Induced Breakdown Spectroscopy (LIBS) Analytical Performance for Multi-Element Analysis of Rock Samples.Sensors (Basel, Switzerland) · 2026Article
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Authors and funding
10 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
The early identification of sex in birds is essential for reproduction, breeding programs, and commercialization and plays a crucial role in wildlife management and environmental law enforcement. The DNA-based molecular techniques, known for their accuracy and noninvasive nature, are the primary methods for sex determination. However, these techniques are time-consuming and expensive and require specialized laboratories. This study explores the use of attenuated total reflectance Fourier transform infrared spectroscopy (ATR-FTIR) combined with the Random Forest algorithm as a noninvasive, cost-effective, and precise alternative for early gender determination in birds. Measurements were performed on the feather region, known as the vexillum, of four bird species:
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Registered trials
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