advice

Documents about advice

• Maternity Survey, 2017#1002192UK Data Service OAI-PMH Repository (Production)
• Maternity Survey, 2018#1002196UK Data Service OAI-PMH Repository (Production)
• Maternity Survey, 2019#1002197UK Data Service OAI-PMH Repository (Production)
• Maternity Survey, 2021#1002199UK Data Service OAI-PMH Repository (Production)
• Who is Robert Jenrick? Anyway, on my experience of advice from women academics, in analytic philosophy and beyond#107070PhilArchive
• Advice on When It Is Safe to Start Sending Data on Label Switched Paths Established Using RSVP-TE#243988IETF RFCs
• Impact of advice from generative AI on moral judgment#292033Kyoto University Research Information Repository
• Impact of advice from generative AI on moral judgment#292035Kyoto University Research Information Repository
• Classic Psychedelics for Chronic Pain: A Critical Review of the Literature and Practical Advice for Clinicians.#380952NCBI PubMed Central
• Towards a Mechanism for Expert Policy Advice in Education#460407ERIC
• Individual Disempowerment through an Advice Channel: Control Loss when Influence is Endogenous#609219arXiv (OAI Expanded)
• Tailoring Biosecurity Advice in Dairy Cattle Farms: Decision Analysis to Estimate the Most Cost-Effective Option.#631009NCBI PubMed Central
• Direct Income SupporT and Advice Negating Spread of Epidemic COVID-19: a Randomized Controlled Trial#804249ClinicalTrials.gov
• Screening and Brief Advice to Reduce Teen Substance Use#859791ClinicalTrials.gov
• Advancing Adolescent Screening and Brief Intervention Protocols in Primary Care Settings#967417ClinicalTrials.gov
• Exploring patient trust in clinical advice from AI-driven LLMs like ChatGPT for self-diagnosis#984794arXiv (All)
• 16 U.S.C. § 582a-4 — Regulations; advice and assistance; appointment, membership, etc., of council#570193US Code (LII)
• 30 U.S.C. § 644 — Advice and assistance by Government departments and agencies; expenditure of funds#584584US Code (LII)
• Table 1_Safety, accuracy, empathy, reliability, and readability of large language model chatbot responses to public-facing vegetarian and vegan nutrition advice questions: a cross-sectional comparative study.docx#422552Figshare
• Table 3_Safety, accuracy, empathy, reliability, and readability of large language model chatbot responses to public-facing vegetarian and vegan nutrition advice questions: a cross-sectional comparative study.docx#422553Figshare
• Table 5_Safety, accuracy, empathy, reliability, and readability of large language model chatbot responses to public-facing vegetarian and vegan nutrition advice questions: a cross-sectional comparative study.docx#422555Figshare
• Table 4_Safety, accuracy, empathy, reliability, and readability of large language model chatbot responses to public-facing vegetarian and vegan nutrition advice questions: a cross-sectional comparative study.docx#422556Figshare
• Table 8_Safety, accuracy, empathy, reliability, and readability of large language model chatbot responses to public-facing vegetarian and vegan nutrition advice questions: a cross-sectional comparative study.docx#422557Figshare
• Table 7_Safety, accuracy, empathy, reliability, and readability of large language model chatbot responses to public-facing vegetarian and vegan nutrition advice questions: a cross-sectional comparative study.docx#422558Figshare
• Table 6_Safety, accuracy, empathy, reliability, and readability of large language model chatbot responses to public-facing vegetarian and vegan nutrition advice questions: a cross-sectional comparative study.docx#422559Figshare
• Table 9_Safety, accuracy, empathy, reliability, and readability of large language model chatbot responses to public-facing vegetarian and vegan nutrition advice questions: a cross-sectional comparative study.docx#422561Figshare
• Table 2_Safety, accuracy, empathy, reliability, and readability of large language model chatbot responses to public-facing vegetarian and vegan nutrition advice questions: a cross-sectional comparative study.docx#422565Figshare
• Table 2_Safety, accuracy, empathy, reliability, and readability of large language model chatbot responses to public-facing vegetarian and vegan nutrition advice questions: a cross-sectional comparative study.docx#422568Figshare
• Patients Discharged "Against Medical Advice" More than Once: A Cross-Sectional Descriptive Analysis of a Vulnerable Population.#327043NCBI PubMed Central
• Crime Survey for England and Wales, 2023-2024#331777UK Data Service OAI-PMH Repository (Production)
• Crime Survey for England and Wales, 2024-2025#331791UK Data Service OAI-PMH Repository (Production)
• Algorithmic fairness in AI-based fitness advice: evaluating socioeconomic bias in county-contextualized physical activity prescriptions.#678537NCBI PubMed Central
• Accurate prediction is not profitable advice: profit-based evaluation of machine learning nitrogen recommendations in winter wheat#779399arXiv (OAI Expanded)
• Accurate prediction is not profitable advice: profit-based evaluation of machine learning nitrogen recommendations in winter wheat#780774arXiv (All)
• How important is knowing how to program for TCS?#787532Stack Exchange
• Moral Advice as Interactional Negotiation: Framing, User Pressure, and Social Position in Large Language Model Responses#972275arXiv (All)
• Screening for Inherited Heart Disease#1008545ClinicalTrials.gov
• Securing quantum error correction against misleading advice from AI agents#1013298arXiv (All)
• Supplementary file 1_Safety, accuracy, empathy, reliability, and readability of large language model chatbot responses to public-facing vegetarian and vegan nutrition advice questions: a cross-sectional comparative study.docx#422560Figshare
• Supplementary file 4_Safety, accuracy, empathy, reliability, and readability of large language model chatbot responses to public-facing vegetarian and vegan nutrition advice questions: a cross-sectional comparative study.docx#422562Figshare
• Supplementary file 3_Safety, accuracy, empathy, reliability, and readability of large language model chatbot responses to public-facing vegetarian and vegan nutrition advice questions: a cross-sectional comparative study.docx#422563Figshare
• Supplementary file 2_Safety, accuracy, empathy, reliability, and readability of large language model chatbot responses to public-facing vegetarian and vegan nutrition advice questions: a cross-sectional comparative study.docx#422564Figshare
• Supplementary file 7_Safety, accuracy, empathy, reliability, and readability of large language model chatbot responses to public-facing vegetarian and vegan nutrition advice questions: a cross-sectional comparative study.docx#422566Figshare
• The present day relevance of Paul's advice to the family in Ephesians 5:22-25 and 6:1-9#117677PhilArchive
• Benchmarking eye health advice from generative artificial intelligence in terms of factual accuracy, safety, comprehensiveness and readability#157970Europe PMC
• Problematic mental health-related advice: exploring the role and limitations of EU's digital toolbox on the case of #TherapyTok.#193639NCBI PubMed Central
• Skills and Employment Survey, 2012#222076UK Data Service OAI-PMH Repository (Production)
• Bitesize Biosecurity: A tool and framework for curating and summarising expert biosecurity advice for farmers using artificial intelligence.#265518NCBI PubMed Central
• Improving Access to Justice with Legal Chatbots#270056OpenAlex
• Large language model chatbots as sources of pediatric anesthesia health advice: An evaluation of reliability and readability.#334833NCBI PubMed Central