Large language models (LLMs) are increasingly adopted in high-stakes domains such as healthcare and medical education, where the risk of generating factually incorrect (i.e., hallucinated) information is a major concern. While significant efforts have been made to detect and mitigate such hallucinations, predicting whether an LLM's response is correct remains a critical yet underexplored problem. This study investigates the feasibility of predicting correctness by analyzing a general-purpose model (GPT-4o) and a reasoning-centric model (OSS-120B) on a multiple-choice prosthodontics exam. We utilize metadata and hallucination signals across three distinct prompting strategies to build a correctness predictor for each (model, prompting) pair. Our findings demonstrate that this metadata-based approach can improve accuracy by up to +7.14% and achieve a precision of 83.12% over a baseline that assumes all answers are correct. We further show that while actual hallucination is a strong indicator of incorrectness, metadata signals alone are not reliable predictors of hallucination. Finally, we reveal that prompting strategies, despite not affecting overall accuracy, significantly alter th
Occlusal contacts are the locations at which the occluding surfaces of the maxilla and the mandible posterior teeth meet. Occlusal contact detection is a vital tool for restoring the loss of masticatory function and is a mandatory assessment in the field of dentistry, with particular importance in prosthodontics and restorative dentistry. The most common method for occlusal contact detection is articulating paper. However, this method can indicate significant medically false positive and medically false negative contact areas, leaving the identification of true occlusal indications to clinicians. To address this, we propose a multiclass Vision Transformer and Fully Convolutional Network ensemble semantic segmentation model with a combination hierarchical loss function, which we name as Hierarchical Fully Convolutional Branch Transformer (H-FCBFormer). We also propose a method of generating medically true positive semantic segmentation masks derived from expert annotated articulating paper masks and gold standard masks. The proposed model outperforms other machine learning methods evaluated at detecting medically true positive contacts and performs better than dentists in terms of a
Scientists have pulled off a first: teleporting a photon’s state between two separate quantum dots。 This was done over a 270-meter open-air link, proving quantum information can travel between independent devices。 The achievement marks a key step toward building quantum networks for ultra-secure communication
In a striking glimpse into extreme physics, scientists have captured the split-second chaos that unfolds when powerful laser flashes blast matter into a superheated plasma。 By combining two cutting-edge lasers, researchers were able to track how copper atoms lose and regain electrons in trillionths of a second, creating and dissolving highly charge
A mysterious cosmic explosion has astronomers buzzing, as a strange event may hint at an entirely new kind of stellar cataclysm。 After detecting ripples in space-time, scientists spotted a fast-fading red glow that initially looked like a rare kilonova—the kind of collision that forges gold and uranium。 But just days later, the signal shifted, beha
Scientists have discovered unexpected water-ice clouds on a distant, Jupiter-like exoplanet, challenging current atmospheric models。 By directly imaging Epsilon Indi Ab with the James Webb Space Telescope, they found less ammonia than expected—likely hidden by thick, patchy clouds。 The finding reveals new layers of complexity in giant planets and s
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A decades-old cosmic mystery has finally been cracked: the strange X-rays coming from the bright star gamma-Cas are caused by a hidden stellar companion feeding off it。 Using cutting-edge observations from the XRISM space mission, astronomers discovered that an unseen white dwarf star is siphoning material from gamma-Cas, heating it to extreme temp
Astronomers have unleashed a powerful new AI tool called RAVEN to comb through data from NASA’s TESS mission—and it’s paying off in a big way。 By analyzing millions of stars, the system has confirmed over 100 exoplanets, including 31 brand-new worlds, and identified thousands more promising candidates。 What makes this especially exciting is the dis
A group of undergraduate students pulled off something remarkable: they built their own dark matter detector and used it to probe one of physics’ biggest mysteries。 Working with limited resources but plenty of creativity, they designed a stripped-down experiment to hunt for axions — hypothetical particles that could make up dark matter
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A light-sensitive crystal is opening the door to a new era of “light-written” technology。 Arsenic trisulfide can be reshaped and permanently altered using simple light, creating ultra-fine optical patterns without expensive manufacturing tools。 Scientists even etched a nanoscale portrait of Einstein and high-density patterns that could act as secur
Physicists have taken a major step toward using AI not just to analyze data, but to uncover entirely new laws of nature。 By combining a specially designed neural network with precise 3D tracking of particles in a dusty plasma—a strange “fourth state of matter” found from space to wildfires—the team revealed hidden patterns in how particles interact
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Scientists have created tiny “optical tornadoes” — swirling beams of light that twist like miniature whirlwinds — using a surprisingly simple setup based on liquid crystals。 Instead of relying on complex nanotechnology, the team used self-organizing structures called torons to trap and manipulate light, causing it to spiral and rotate in intricate
A surprising breakthrough in physics could reshape the future of computing by tapping into a strange, previously untapped property of matter。 Scientists have shown that tiny atomic vibrations—called chiral phonons—can directly transfer motion to electrons, allowing them to carry information without magnets, batteries, or even electricity。 This open
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Researchers have, for the first time, directly visualized how electronic patterns known as charge density waves evolve across a phase transition。 Using cutting-edge microscopy, they found these patterns form unevenly, breaking into patches influenced by tiny structural distortions。 Unexpectedly, small pockets of order persist even above the transit
A massive cosmic milestone has just been reached: scientists have completed the largest high-resolution 3D map of the universe ever created。 Built using data from over 47 million galaxies and quasars, this map could unlock new clues about dark energy—the mysterious force driving the universe’s expansion。 Despite setbacks like wildfire disruptions,
Quantum physics once shocked scientists by revealing that particles can behave like waves—and now, that strange behavior has been pushed even further。 For the first time, researchers have observed wave-like interference in positronium, an exotic “atom” made of an electron and its antimatter partner, a positron。 This breakthrough not only strengthen