Skill UI

A comprehensive guide for authors to determine if their research proposal or manuscript meets the high standards and specific framing required by The Lancet Infectious Diseases. It covers scope fit, methodological evidence bars (e.g., CONSORT, STROBE), structural requirements, and global health implications, helping authors re-frame their work for maximum impact in this prestigious journal.

This skill provides comprehensive guidelines for submitting clinical neurology and neuroscience research to The Lancet Neurology. It assesses the journal's scope (e.g., Phase III trials, global burden), the necessary evidence bar (CONSORT, STROBE, PRISMA compliance), and the required structure (structured abstract, 'Added value' panel). Use this tool to re-frame and optimize your manuscript to meet high-impact academic publication standards.

This comprehensive skill acts as a venue-selection and re-framing tool for authors targeting The Lancet Oncology. It provides deep insight into the journal's specific requirements, including methodological rigor (CONSORT, PRISMA), required evidence strength (Phase III RCTs, definitive biomarkers), structural elements (structured abstract, 'Added value' panel), and current submission best practices. Use this guide to assess if your clinical oncology manuscript is sufficiently advanced and impactful for this prestigious global journal.

This skill provides comprehensive guidance for submitting high-impact clinical and population research to The Lancet Respiratory Medicine. It details the journal's specialized scope, which favors practice-changing randomized trials and major prospective cohorts in respiratory and critical care. The guide highlights the rigorous evidence bar, including expected reporting guidelines (CONSORT, STROBE, PRISMA), statistical rigor, and structural house style, serving as a crucial fit and framing aid for authors.

This guide assists authors in assessing whether their plant molecular or cell biology research meets the high mechanistic depth and rigor required by The Plant Cell journal. It covers required scope (e.g., hormone signaling, stress response), evidence standards (e.g., co-IP, ChIP-seq), and structural guidelines for maximizing submission quality and suitability.

This skill guides authors through the demanding requirements of publishing in The Plant Journal. It evaluates whether a plant-science manuscript provides a fully resolved, mechanistic gene-to-function narrative. It checks for necessary evidence across genetics, biochemistry, and cell biology, ensuring the work meets the highest standards of molecular rigor for top-tier scientific publication.

A comprehensive guide for structuring and positioning computer science manuscripts for The Web Conference (WWW). It advises authors on leveraging open-web data, focusing on web systems, web mining, and responsible AI, while adhering to the latest venue-specific standards and evidence requirements.

This guide details advanced best practices for achieving scientific reproducibility in probabilistic modeling and deep learning research. It mandates rigorous disclosure of seeds, hyperparameters, diagnostic traces (e.g., R-hat, ELBO), and compute environments to ensure that all claims made in academic papers are verifiably backed by traceable evidence. It elevates reproducibility from a simple code run to a comprehensive audit.

A comprehensive guide for authors submitting to venues focused on probabilistic AI, including UAI. It emphasizes achieving maximum formal rigor by enforcing strict notational discipline, clearly separating conditioning from intervention, explicitly stating assumptions, structuring the main body for maximum impact, and calibrating claims to match empirical evidence. Essential for papers involving graphical models, causality, and Bayesian methods.

A comprehensive guide detailing how to package and present research artifacts—including code, hardware designs, and datasets—for major academic conferences. It outlines best practices for both initial review-time evidence and long-term public reuse, ensuring reproducibility and maximizing the chances of adoption by future builders.

A comprehensive guide to navigating the UIST (User Interface Software and Technology) academic review pipeline. It details every stage, from initial submission and expert review to the rebuttal phase and final committee decisions. The guide teaches authors how to critically analyze reviewer feedback, identify evidence gaps, strengthen novelty claims, and strategically plan for conditional acceptance or resubmission.

A comprehensive guide for producing the mandatory supplementary video figure for UIST submissions. This material treats the 3-minute video as core evidence, detailing requirements for resolution (1080p/4K), codec (H.264), and anonymity. It guides authors on scripting the video around key claims, ensuring uncut interaction loops, and maintaining academic rigor to convince reviewers of the system's reality.