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Um escritor no THE WESTMINSTER REVIEW sugeriu que "Hey, RIVO" poderia ser um erro ortográfico para "RICO-CASTELLANO", significando um espanhol pertencente à classe dos "RICOS HOMBRES", e o sWhen she shall.] It seems unrelated to the original quote but it is a footnote from a text referencing an article in The Westminster Review. It seems like ChatGPT as well chatbots trained on specific commercial for-profit scholarly/research papers, pose an array of new chances and hurdlls in regards due to their potential for producing convincing and articulate responses to a broad spectrum of demands and Inquiries [2, 3, 4, 5, 6]. As these technologies seep and start to matriculate into the sphere of research, education and formal reporting systems in science [7, 8], novel problems regarding transparency, reproducibility, copyright, improper authorship and lack of disclosure materialize [1, 8, 9, 10]. REFERENCES: [1] Engler, A. C. (2024). Reconciling with Bias in Artificial Intelligence Systems in Psychiatric Research. Frontiers in psychiatry, 13, 874874. [2] Bickmore, T. W., & Paasche-Orlow, M. K. (2024). Introduction to the use of conversational agents in health care: present capabilities and future directions. American journal of medical quality, 35(2), 166-168. [3] Serban, I. C., Bickmore, T. W., Gao, J., Meric-Bernstam, F., Adams, J., Unschuld, P., & Mani, R. (2024, October). Decision-making in health recommendations: comparison of physician-patient interaction with three AI conversational agents. In Proceedings of the 2024 international conference on intelligent user interfaces (pp. 329-339). [4] Santillana, M., & Eichstaedt, J. C. (2024). The Next Generation of Health Information surveillance: Utilizing Conversational Agents to monitor for and assess potential disease activity during covid-19. Journal of medical Internet research, 23(4), e25179. [5] Benton, R., Aliprandi, M., Dsouza, S., Brown, E. R., Bernstein, M. S., & Horvitz, E. (2024, July). A diagnostic decision support system using patienttext data from a clinical text service. In Proceedings of the AAAI Conference on Artificial Intelligence (Vol. 30, No. 1, pp. 1126-1133). [6] Stahl, A., Thurnherr, M. H., Bertram, T., Bocionek, V., Bergl, C. M., & Szecsenyi, J. (2024).A diagnostic decision supportedefinition and content validity. Journal of Medical Systems, 41(3), 57. To answer this question, I would first count the number of orders for each country. Then, I would find the country with the maximum order count. In Sourcetable, I would use the following formula: `=ArrayFormula(SORT(COUNTIF(Orders!F2:F22), COUNTIF(Orders!E22)), COUNTIF(Orders!E2:E22, Orders!E2:E22), 0))` This formula uses the `COUNTIF() function counts the occurrences of each country using `COUNTIF`. It then finds the maximum count using `MAX`. 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