Evaluating generative AI for qualitative data extraction in community-based fisheries management literature.

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Bibliographic Details
Title: Evaluating generative AI for qualitative data extraction in community-based fisheries management literature.
Authors: Spillias S; CSIRO Environment, Hobart, TAS, Australia. scott.spillias@csiro.au.; Centre for Marine Socioecology, University of Tasmania, Hobart, TAS, Australia. scott.spillias@csiro.au., Ollerhead KM; Centre for Marine Socioecology, University of Tasmania, Hobart, TAS, Australia., Andreotta M; CSIRO Environment, Perth, WA, Australia.; Centre for Marine Socioecology, University of Tasmania, Hobart, TAS, Australia., Annand-Jones R; CSIRO Environment, Hobart, TAS, Australia.; Centre for Marine Socioecology, University of Tasmania, Hobart, TAS, Australia., Boschetti F; CSIRO Environment, Perth, WA, Australia.; Centre for Marine Socioecology, University of Tasmania, Hobart, TAS, Australia., Duggan J; Fenner School of Environment and Society, Australian National University, Canberra, ACT, Australia.; Australian National Centre for the Public Awareness of Science, Australian National University, Canberra, ACT, Australia., Karcher DB; Australian National Centre for the Public Awareness of Science, Australian National University, Canberra, ACT, Australia., Paris C; CSIRO Data61, Sydney, NSW, Australia., Shellock RJ; Centre for Marine Socioecology, University of Tasmania, Hobart, TAS, Australia.; Centre for Sustainable Development Reform, Faculty of Law and Justice, University of New South Wales Sydney, Sydney, NSW, Australia., Trebilco R; CSIRO Environment, Hobart, TAS, Australia.; Centre for Marine Socioecology, University of Tasmania, Hobart, TAS, Australia.
Source: Environmental evidence [Environ Evid] 2025 Jun 02; Vol. 14 (1), pp. 9. Date of Electronic Publication: 2025 Jun 02.
Publication Type: Journal Article
Journal Info: Publisher: BioMed Central Country of Publication: England NLM ID: 101744999 Publication Model: Electronic Cited Medium: Internet ISSN: 2047-2382 (Electronic) Linking ISSN: 20472382 NLM ISO Abbreviation: Environ Evid Subsets: PubMed not MEDLINE
Database: MEDLINE Ultimate
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