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capture #49

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{"model": "z-ai/glm-4.6", "messages": [{"role": "user", "content": "You are a researcher building an evidence-grounded argument for a specific brief. You may read from the shared library below. READ SELECTIVELY: choose the papers your brief most needs \u2014 you have 5 read(s) left. Base every claim ONLY on papers you have read.\n\nBRIEF: Assess the balance of evidence on the geographic origin of the earliest COVID-19 cases. Weigh the Huanan market ascertainment question fairly; state plainly where evidence is strong, weak, or refuses to combine.\n\nSHARED LIBRARY (titles; read one to see its text):\n  tt:eeuo8_5kisxnCgnaxg6evqL-gD8vH1C-dCRj23u_Gq0  Convergent evolution of SARS-CoV-2 spike mutations, L452R, E484Q and P681R, in the second wave of COVID-19 in Maharashtra, India\n  tt:M8nnp5OldWX1j5LdL_Rsll2qnmoCwRp64AAcZeKfqKI  Engineered ACE2 receptor therapy overcomes mutational escape of SARS-CoV-2.\n  tt:fK_kWQOIBrng5YmGhqtT9uGpq7WKaDXIXPic_B9gFTE  Evolutionary and structural analyses of SARS-CoV-2 D614G spike protein mutation now documented worldwide.\n  tt:d8lw-1sCs8xMsqqg5f9qD_L8cblyLWBBVsTVOuUTyKQ  Omicron SARS-CoV-2 mutations stabilize spike up-RBD conformation and lead to a non-RBM-binding monoclonal antibody escape.\n  tt:igRl3YYUtdDTMExsTtZqjrulcvLpgMKCHuPKeaJ8-v8  Deep mutational scanning of SARS-CoV-2 receptor binding domain reveals constraints on folding and ACE2 binding\n  tt:3U-qpDnE-TSseFM4xrbRjRm2gCgk4HH5IV3HTHrcJko  Evolution at Spike protein position 519 in SARS-CoV-2 facilitated adaptation to humans.\n  tt:buS-VjbFvU_GGHRdwTWe7VrhK_eQ2HyhNMEPlJZ2BbE  Identifying zoonotic origin of SARS-CoV-2 by modeling the binding affinity between Spike receptor-binding domain and host ACE2\n  tt:i3ijL0zW8QfBEwF3cYCq2bf0a1RFBSWExVTg9dHWKPQ  Functional and structural characterization of the SARS-CoV-2 spike N481K mutation.\n  tt:pqLHqzmkQY5Alt1yRQ4a0RM_Qayrer5CptJs3o-Rtgk  Genomic surveillance of SARS-CoV-2 tracks early interstate transmission of P.1 lineage and diversification within P.2 clade in Brazil.\n  tt:xrP6pjA1h2TCJjL7STByv6WY8Gka-stONY8dYYdU6fM  Transmission, infectivity, and antibody neutralization of an emerging SARS-CoV-2 variant in California carrying a L452R spike protein mutation\n  tt:2lCSGo4XO6DMnJLYA-051WpnogJX1aOeg4IhbtcMheQ  Distinct evolution of SARS-CoV-2 Omicron XBB and BA.2.86/JN.1 lineages combining increased fitness and antibody evasion.\n  tt:5Av3q_Yyc2jvYadPTn2w3vgwMPBgyaT4N27DtBCwiSc  Coronaviruses with a SARS-CoV-2-like receptor-binding domain allowing ACE2-mediated entry into human cells isolated from bats of Indochinese peninsula\n  tt:3fll7ADMY3qqEiXBhLlIqettexRRrUsCbdY-autKpGg  Preventing zoonotic spillover through regulatory frameworks governing wildlife trade: A scoping review.\n  tt:9bwwBcR6pLqwS-vOsvt1T1LHo7MSK93Islk_6HhOsq8  An updated dataset of early SARS-CoV-2 diversity supports a wildlife market origin [read]\n  tt:I7XU3gQb0dX2_uDnoN4aWFGld4p0Qa7vgQYdThjUBuY  Surveillance of SARS-CoV-2 at the Huanan Seafood Market.\n  tt:eqZkak7mNsnVL0gKcVJh51fWC6s25x5DOGSQdqohI80  An updated dataset of early SARS-CoV-2 diversity supports a wildlife market origin\n  tt:u69895lAK3BeYzPYdCLYY__GYN8k9XNTL9kaBz9oQG0  An updated dataset of early SARS-CoV-2 diversity supports a wildlife market origin\n  tt:vpqiS1RaTHvSQqfs6cCKt0jRVEMgM8mEq3Mvd-gqW5c  An updated dataset of early SARS-CoV-2 diversity supports a wildlife market origin\n  tt:1NAhHBQ5-1QR-2CMGNmzgekIrygu_MAKdCyjF4f7xr8  Wildlife trade drives animal-to-human pathogen transmission over 40 years\n  tt:mgfFgp0L95uxueR9nASX9G0Jj-T7BmaMZGW0h26kREI  Wildlife trade drives animal-to-human pathogen transmission over 40 years\n  tt:1CZC9sEW_MxKiI4kpfBSDJgHJrkoNvP4WKnj3XZ9Fww  Erratum for the Research Article \"The Huanan Seafood Wholesale Market in Wuhan was the early epicenter of the COVID-19 pandemic\" by M. Worobey <i>et al</i>.\n  tt:2hB_6x4Opwdmb8Y5__jNLO8Ykk6JOkXPl8PeR9nZVAk  Surveillance of SARS-CoV-2 in the environment and animal samples of the Huanan Seafood Market\n  tt:gMf3A9nzW5pUQ5j8ZTbnU-hV6KvpQHNtU6ARWPgxlVs  Erratum for the Research Article \"The Huanan Seafood Wholesale Market in Wuhan was the early epicenter of the COVID-19 pandemic\" by M. Worobey <i>et al</i>.\n  tt:N5kM9nvS35RQkwUUm6-1979ygsqocAKzAFyw7lcFLVA  Exposure to diverse sarbecoviruses indicates frequent zoonotic spillover in human communities interacting with wildlife.\n\nPapers you have read (quote ONLY from these):\n  [tt:9bwwBcR6pLqwS-vOsvt1T1LHo7MSK93Islk_6HhOsq8] An updated dataset of early SARS-CoV-2 diversity supports a wildlife market origin\n    The origin of SARS-CoV-2 has been the subject of intense scrutiny and speculation since the virus was first identified in Wuhan, China in late 2019. The earliest reported COVID-19 cases were associated with Wuhan's Huanan Seafood Wholesale Market [1, 2] , immediately suggesting that SARS-CoV-2 emerged from its mammalian wildlife trade [3, 4] . Subsequent evidence has consistently supported this hypothesis. Spatiotemporal epidemiological data unambiguously distinguished the area near the market as the epicenter of the outbreak [5] [6] [7] [8] . Sequencing of environmental samples placed all known genomic diversity of SARS-CoV-2 at the end of 2019 in a small section of the market [9] . A stone's throw away within the market, a stall was found to contain nucleic acid from both SARS-CoV-2 and animals capable of SARS-CoV-2 transmission [10] [11] [12] . An updated dataset of early SARS-CoV-2 diversity supports a wildlife market origin Z. Hensel & F. D\u00e9barre papers [22] [23] [24] [25] . We added 187 sequences from public databases and new assemblies from public sequencing reads. We identified published studies corresponding to many of the added sequences [26] [27] [28] [29] [30] [31] . So\n\nReply with ONE JSON object, no prose:\n  to read a paper:  {\"read\": \"<tt:...>\"}\n  to finish:        {\"conclude\": {\"argument_md\": \"<markdown>\", \"citations\": [{\"claim\": \"...\", \"tt\": \"<tt:...>\", \"quote\": \"<exact substring of a paper you read>\"}]}}\nEvery citation quote MUST be copied verbatim from a paper you have read above."}], "temperature": 0.3, "max_tokens": 8000, "provider": {"ignore": ["Novita"]}}

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