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Procedimiento ad hoc para optimizar el acuerdo entre registros observacionales
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![Data-driven classification of the certainty of scholarly assertions [PeerJ]](https://dfzljdn9uc3pi.cloudfront.net/2020/8871/1/fig-2-full.png "Data-driven classification of the certainty of scholarly assertions [PeerJ]")
Data-driven classification of the certainty of scholarly assertions [PeerJ]
![Data-driven classification of the certainty of scholarly assertions [PeerJ]](https://dfzljdn9uc3pi.cloudfront.net/2020/8871/1/fig-3-full.png "Data-driven classification of the certainty of scholarly assertions [PeerJ]")
Data-driven classification of the certainty of scholarly assertions [PeerJ]
Methodology that Combines Multi-criteria Methods for Decision-Making, Hierarchical Analytical Process and the Goal Programming, and Their Impact in the Sustainability Evaluation of Hydroelectric Projects in Mexico | SpringerLink
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Cohen's kappa's and percent agreement as measures for intercoder... | Download Table
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Causal graph extraction from news: a comparative study of time-series causality learning techniques [PeerJ]
Frontiers | Present and Future Therapeutic Approaches to Barrier Dysfunction
Cohen's Kappa coefficients among annotators. | Download Scientific Diagram
Defining and Measuring Corporate Sustainability: Are We There Yet? - Ivan Montiel, Javier Delgado-Ceballos, 2014
Evaluation of Cross-Validation Strategies in Sequence-Based Binding Prediction Using Deep Learning | Journal of Chemical Information and Modeling
PDF) Figure S1
![Data-driven classification of the certainty of scholarly assertions [PeerJ]](https://dfzljdn9uc3pi.cloudfront.net/2020/8871/1/fig-4-full.png "Data-driven classification of the certainty of scholarly assertions [PeerJ]")
Data-driven classification of the certainty of scholarly assertions [PeerJ]
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Procedimiento ad hoc para optimizar el acuerdo entre registros observacionales
A measure of agreement across numerous conditions: assessing when changes in network structures are tissue-specific | BMC Genomics | Full Text
Procedimiento ad hoc para optimizar el acuerdo entre registros observacionales
