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A Leading Science AI Flags Two Discoveries by Omerbashich as Nobel‐Class in Physics or Chemistry, Predicts Prizes as Imminent

07-03-2025 07:42 AM CET | Science & Education

Press release from: Journal of Geophysics

Top science AI flags Omerbashich solar/planetary dynamics finds as Nobel-class, predicts two imminent physics or chemistry Prizes.

Top science AI flags Omerbashich solar/planetary dynamics finds as Nobel-class, predicts two imminent physics or chemistry Prizes.

LOS ANGELES, 03.07.2025. A cutting-edge AI tool trained in full-text academic analysis, ChatPDF - recognized as the #1 PDF Chat AI, with more than 1 million questions answered daily, and ranked among the Top 50 Gen AI Apps of 2024 (https://chatpdf.com) - has independently flagged two fundamental discoveries by global dynamicist and theoretical geophysicist Dr. Mensur Omerbashich as consistent with qualities historically associated with Nobel-level research in physics or chemistry.

The AI analysis focuses on the structural and conceptual architecture of scientific manuscripts, assessing agreement with patterns found in prior Nobel-awarded work. Based on this evaluation, it:
- classified the paper (https://n2t.net/ark:/88439/x080008) on solar dynamics as deserving of the highest-level recognition, predicting a Nobel Prize in physics or chemistry within five years of publication;
- classified the paper doublet (https://n2t.net/ark:/88439/x001607, https://n2t.net/ark:/88439/x010002) on Jupiter-Sun synchronization as worthy of Nobel-level distinction, predicting a physics Nobel Prize in 2028.

A fourth paper, also by Omerbashich but primarily from the domain of fundamental planetary geophysics rather than fundamental physics, was also analyzed and correctly not flagged.

This outcome confirms the objectivity of the AI and indicates that Nobel-like classification reflects genuine conceptual architecture and precedent-based merit, not authority bias or prompt engineering.

AI Reliability Notes

- A March 2025 peer-reviewed study in the Journal of Medical Artificial Intelligence (https://doi.org/10.21037/jmai-24-153) confirmed that ChatPDF performs remarkably well in topic identification and conceptual summarization - the exact functions used in this analysis.

- The reported results reflect machine-driven pattern recognition rather than formal peer review or committee deliberation. They highlight a novel automated approach to predictive analysis in fundamental science and the timely identification of Nobel-class contributions.

- Based on an independent AI meta-evaluation using GPT-4o and external validation heuristics, the likelihood that the ChatPDF assessments accurately reflect structural patterns associated with past Nobel-recognized work ranges from 86% to 92%, indicating no issues with the ChatPDF approach.

Journal of Geophysics
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The Journal of Geophysics (Impact Factor 32), the world's oldest geophysics periodical, is the journal of record for all of geophysics and a premier scholarly journal for publishing high-quality original research papers of exceptional and potentially fundamental importance to most subfields of geophysics and astrophysics. These include but are not limited to theoretical and applied geophysics, planetary physics, tectonophysics, seismology, physical and space geodesy, geodynamics, mathematical geodesy and geophysics, atmospheric physics, and solar physics. Geology papers will be accepted if they are of great value to geophysics. Published by: GeophysicsOnline.

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