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  1. 1121
    “…RESULTS: While the majority of patients elected to know the truth during their clinical course, a polarisation between those arguing that the truth be fully disclosed and those claiming that the truth be communicated in a personalised way was observed at the attitude level. …”
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    Italian onco-haematological patients’ preferences in bad news communication: a preliminary investigation
  2. 1122
    “…Our evaluations across 3 physical activity, sedentary behavior, and sleep quality data sets showed that truth inference is a context-sensitive process, and none of the methods studied in this paper were consistently superior to others in predicting the truth label. …”
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    Crowdsourcing for Machine Learning in Public Health Surveillance: Lessons Learned From Amazon Mechanical Turk
  3. 1123
    “…The ground truth GTVs can be solved out due to the good linear correlation with the predicted results. …”
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    Gross Tumor Volume Definition and Comparative Assessment for Esophageal Squamous Cell Carcinoma From 3D (18)F-FDG PET/CT by Deep Learning-Based Method
  4. 1124
    “…Results show that the dual-task procedure enhances differences observed between liars and truth tellers with T-pattern methodology; moreover, T-pattern detection reveals a higher variety and complexity of behavior in truth tellers than in liars. …”
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    T-Pattern Analysis and Cognitive Load Manipulation to Detect Low-Stake Lies: An Exploratory Study
  5. 1125
    “…In our example pRF application, those components are: (1) synthesis of fMRI time series from ground-truth pRF parameters, (2) implementation of four public pRF analysis tools and standardization of inputs and outputs, and (3) report creation to compare the results with the ground truth parameters. …”
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    A validation framework for neuroimaging software: The case of population receptive fields
  6. 1126
    “…RESULTS: The counts ratio was not significantly correlated with ground truth and had large errors (r = 0.48; P = .16; average error = 52.7%) because of high levels of nonfunctional movement in the paretic limb. …”
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    Improving Accelerometry-Based Measurement of Functional Use of the Upper Extremity After Stroke: Machine Learning Versus Counts Threshold Method
  7. 1127
    por Goodall, Simon K., Ebert, Martin A.
    Publicado 2020
    “…Changes in the DVS produced greater variations from the ground truth calculation than changes in SU across the values tested. …”
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    Recommended dose voxel size and statistical uncertainty parameters for precision of Monte Carlo dose calculation in stereotactic radiotherapy
  8. 1128
    “…They all claimed that it is important to tell the truth: “Even if the truth is difficult, it is important to tell it.” …”
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    Adolescents With Cancer Need Trustworthy Information and Prefer to Receive It From a Human Source Rather Than From the Internet: A Qualitative Study
  9. 1129
    “…Regarding overall measurement error between the annotators, 87.7% of the variance could be reduced by using standardized grades based on the ground truth. The algorithm was highly consistent with the ground truth in assigning hemosiderin grades. …”
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    Cytologic scoring of equine exercise-induced pulmonary hemorrhage: Performance of human experts and a deep learning-based algorithm
  10. 1130
    por Adye, Tim
    Publicado 2011
    “…A test suite allows comparisons of the performance of the algorithms under different truth and measurement models. Here I outline the package, the unfolding methods, and some experience of their use.…”
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    Unfolding algorithms and tests using RooUnfold
  11. 1131
    “…In a data-driven context, bionic polarization navigation requires a mass of skylight polarization pattern data with diversity, complete ground truth, and scene information. However, acquiring such data in urban environments, where bionic polarization navigation is widely utilized, remains challenging. …”
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    Skylight Polarization Pattern Simulator Based on a Virtual-Real-Fusion Framework for Urban Bionic Polarization Navigation
  12. 1132
    “…The goal of the automated segmentation tool is traditionally to produce the highest-quality segmentation, where quality is measured by the similarity to actual ground truth, so as to minimize the volume of manual correction necessary. …”
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    Minimizing Manual Image Segmentation Turn-Around Time for Neuronal Reconstruction by Embracing Uncertainty
  13. 1133
    “…Existing reference based edge measures require a ground truth edge map to evaluate the similarity between the generated edge map and the ground truth. …”
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    Nonreference Medical Image Edge Map Measure
  14. 1134
    por Mascaro, Olivier, Morin, Olivier
    Publicado 2015
    “…This paper investigates the ontogeny of human’s naive concept of truth. Surprisingly, children find it hard to treat assertions as false before their fifth birthday. …”
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    Epistemology for Beginners: Two- to Five-Year-Old Children's Representation of Falsity
  15. 1135
    “…The lack of information on ground truth gas dispersion and experiment verification information has impeded the development of mobile olfaction systems, especially for real-world conditions. …”
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    Development of a Scalable Testbed for Mobile Olfaction Verification
  16. 1136
    “…Each requires particular ground truth or samples to enable optimal training and validation, which are often not covered by the currently available databases. …”
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    Synthesis of Common Arabic Handwritings to Aid Optical Character Recognition Research
  17. 1137
    “…It has been consistently demonstrated that deceivers generally can be discriminated from truth tellers by monitoring an increase in their physiological response. …”
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    Interviewing Suspects with Avatars: Avatars Are More Effective When Perceived as Human
  18. 1138
    “…We compare the detected communities in both networks to the ‘ground truth’: the political group, country, and language of the EP members. …”
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    Retweet networks of the European Parliament: evaluation of the community structure
  19. 1139
    “…Participants rated each of the following on a five-point scale by looking at each figure: risk perception, perceived truth of data, and comparative risk perception. The perceived truth of data was high for pictograms, especially among men and among those defined as having lower health literacy. …”
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    Differences in Data Trustworthiness and Risk Perception between Bar Graphs and Pictograms
  20. 1140
    “…The second objective is to reduce the difficulty of preparing the ground truth data by testing the accuracy of training on incomplete labeling data. …”
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    U-Net-Based Segmentation of Microscopic Images of Colorants and Simplification of Labeling in the Learning Process
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