Results 151 to 160 of about 15,208,782 (347)

A machine learning assisted method for rapidly annotating benthic megafauna in large volumes of marine imagery

Limnology and Oceanography: Methods, EarlyView.
Abstract Recent technological advancements have rapidly expanded our capacity for collecting image data in the marine environment, but processing images into meaningful ecological metrics remains a manual, time‐consuming, and biased process. This is particularly challenging with electro‐optical cabled imaging systems which generate images at a rate ...
Katharine T. Bigham, Ada Carter
wiley   +1 more source

Calibrating p‐values in ecology: a practical framework for integrating prior plausibility into statistical inference

Oikos, EarlyView.
Misinterpretation of p‐values, coupled with insufficient consideration of the prior plausibility of ecological hypotheses, leads to overconfident and often unreliable inference in ecological research. To address this issue, we present a methodological framework for p‐value calibration that reinterprets conventional p‐values through minimum Bayes ...
Rafael Dettogni Guariento, Anderson da Rocha Gripp, Adriano Caliman   +2 more
wiley   +1 more source

Overconfidence? [PDF]

Many studies have shown that people display an apparent overconfidence. In particular, it is common for a majority of people to describe themselves as better than average.
Benoît, Jean-Pierre, Dubra, Juan
core   +4 more sources

Executive Character and Financial Distress on Tax Avoidance with Manager’s Overconfidence as a Moderating Variable

Jurnal Akuntansi
Purpose - The purpose of this study was to determine the effect of executive character and financial distress on tax avoidance with manager overconfidence as a moderating variable.
Aditya Firmansyah, Adhitya Putri Pratiwi   +1 more
doaj   +1 more source

Overconfidence Increases Productivity [PDF]

Recent studies report that productivity increases under tournament reward structures than under piece rate reward structures. We conduct maze-solving experiments under both reward structures and reveal that overconfidence is a significant factor in ...
Fumio Ohtake, Hiroko Okudaira, Noriko Mizutani, Yusuke Kinari   +3 more
core  

Large‐language‐models for pediatric diagnosis: Performance evaluation using real‐world clinical notes from common and rare cases

Pediatric Investigation, EarlyView.
• Advanced large language models exhibited superior diagnostic accuracy compared to clinicians, particularly for rare diseases, with Claude‐3.5 Sonnet and o1‐preview demonstrating the highest consistency between query iterations. ABSTRACT Importance Rigorous evaluation of large language models (LLMs) in pediatric diagnosis using authentic clinical ...
Cristian Launes, Paula Esteller‐Cucala, Marina Alvarez‐Estape, Ivan Cano, Rosa Pino, Carla González‐Grado, Andrea Aldemira‐Liz, Javier Logroño, Carlos Mascías, Juanjo do‐Olmo, Julián Isla, Yolima Cossio, Francesc Garcia‐Cuyas   +12 more
wiley   +1 more source

WHY ENTREPRENEUR OVERCONFIDENCE AFFECT ITS PROJECT FINANCIAL CAPABILITY: EVIDENCE FROM TUNISIA USING THE BAYESIAN NETWORK METHOD [PDF]

Business Excellence and Management, 2013
This article discusses the effect of the entrepreneur’s profile on financing his creative project. It analyzes the impact of overconfidence on improving perceptions financing capacity of the project.
Salima TAKTAK , Mohamed Ali AZOUZI , Mohamed TRIKI   +2 more
doaj  

Machine learning‐based predictive models versus traditional risk scores in hemodialysis patients with comorbid urolithiasis

Precision Medical Sciences, EarlyView.
Machine learning‐based predictive models outperform traditional risk scores in hemodialysis patients with comorbid urolithiasis by capturing nonlinear, dialysis‐specific interactions. These approaches enable more accurate prediction of stone recurrence, sepsis, hospitalization, and mortality, supporting personalized risk stratification and precision ...
Dipal Chaulagain, Muhammad Riaz, Mirza Muhammad Hadeed Khawar, Jawad Hameed, Malik Sohail Riaz   +4 more
wiley   +1 more source

Farmers' Subjective Yield Distributions: Calibration and Implications for Crop Insurance Valuation [PDF]

This paper examines the role of overconfidence in explaining farmer crop insurance purchasing decisions. The authors hypothesize that overconfidence could influence the participation decision and test this hypothesis.
Sherrick, Bruce J., Umarov, Alisher
core   +1 more source

Assessing the impact of model biases on subseasonal forecast skill

Quarterly Journal of the Royal Meteorological Society, EarlyView.
Relaxation experiments where the nudging was performed towards bias‐corrected integrations of the same model display significantly improved skill at weeks 3 and 4, particularly in the northern extratropics. This indicates that there is a large potential for improving dynamical subseasonal forecasting skill by improved treatment of model biases.
Frédéric Vitart, Magdalena Balmaseda
wiley   +1 more source