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Arnold's Nature news article (22 September 2023) says in its standfirst that questions remain about whether AlphaFold can really shake up the pharmaceutical industry. Copy claim link
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Machine-checked, not reviewed by an editor Stated in source Supported
Supporting evidence: secondary · 1 source
Date 2023-09-22 · publication Records dated 2023 → Role Context Register (kind of text) Nonfiction Missing element Reports an open question about degree (whether AlphaFold can "really shake up" the industry); the readable text neither states nor disputes the criterion. Scope and limits The record documents what this text states, in its register; it is not evidence that the proposition is true and implies no influence on or from any other text. Journalism (secondary source). Only the headline, standfirst and opening paragraph were readable; the reporting and named sources in the body were not read. The reference list printed on the page includes a 2023 eLife study by Karelina, Noh and Dror, not retrieved.
Rests on reporting No primary source supports this record; its supporting passages come from reporting.
The evidence 02 secondary source Supports the claim
AlphaFold touted as next big thing for drug discovery — but is it? ↗ Nature (News) · 2023-09-22
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Source excerpt “Questions remain about whether the AI tool for predicting protein structures can really shake up the pharmaceutical industry.” Location in source Standfirst
How it was read Retrieved directly from the publisher
Machine-checked · 2026-10-30
Source details and check notes Authors Carrie Arnold Version Retrieved for the candidate pack on 2026-10-30 (SHA-256 8c339715a733598f455f377f60d659f3113e3277b6475c91186e556dabd01f11). Nature news article page as served on 2026-10-30; headline, standfirst and opening paragraph only, remainder behind subscription. Its wording can change; earlier wording is not authenticated. Canonical address Open the canonical source ↗ Accessed 2026-10-30 Language English (en) Attribution Carrie Arnold, “AlphaFold touted as next big thing for drug discovery — but is it?”, 2023-09-22. Reuse No open redistribution licence asserted. Bibliographic metadata, editorial paraphrases and short attributed quotations (at most 50 words each). Recheck terms before wider redistribution. Check notes Candidate pack passage, AI in biology (research/ai-in-biology). The quotation (18 words) matched the text retrieved for the candidate pack on 2026-10-30. Matching ignored differences of whitespace, case, quotation marks, dashes and Unicode compatibility forms, so the source’s typography can differ. The publication's own summary. No human editorial review. secondary source Supports the claim
AlphaFold touted as next big thing for drug discovery — but is it? ↗ Nature (News) · 2023-09-22
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Cite the original source Cite the original document, not Selekoa. Check these details against it.
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Source excerpt “chemists became excited about the promise of using the open-source artificial-intelligence (AI) programme to discover drugs more quickly and cheaply.” Location in source Opening paragraph
How it was read Retrieved directly from the publisher
Machine-checked · 2026-10-30
Source details and check notes Authors Carrie Arnold Version Retrieved for the candidate pack on 2026-10-30 (SHA-256 8c339715a733598f455f377f60d659f3113e3277b6475c91186e556dabd01f11). Nature news article page as served on 2026-10-30; headline, standfirst and opening paragraph only, remainder behind subscription. Its wording can change; earlier wording is not authenticated. Canonical address Open the canonical source ↗ Accessed 2026-10-30 Language English (en) Attribution Carrie Arnold, “AlphaFold touted as next big thing for drug discovery — but is it?”, 2023-09-22. Reuse No open redistribution licence asserted. Bibliographic metadata, editorial paraphrases and short attributed quotations (at most 50 words each). Recheck terms before wider redistribution. Check notes Candidate pack passage, AI in biology (research/ai-in-biology). The quotation (20 words) matched the text retrieved for the candidate pack on 2026-10-30. Matching ignored differences of whitespace, case, quotation marks, dashes and Unicode compatibility forms, so the source’s typography can differ. The article's report of the expectation it examines. No human editorial review. Status and meaning Editorial status. Not reviewed by an editor . An exploratory record that no editor has accepted. This status does not say whether a person has read any linked passage. Each evidence record above shows how it was checked.
Relation. A passage of the document bears on the proposition without meeting its criterion; the record names the missing element. It is not an articulation and implies no influence.
Date. Date printed on the article page.
Record ID aib-arg-p1-arnold-2023