{"id":"https://openalex.org/W4408928827","doi":"https://doi.org/10.3390/make7020028","title":"Accelerating Disease Model Parameter Extraction: An LLM-Based Ranking Approach to Select Initial Studies for Literature Review Automation","display_name":"Accelerating Disease Model Parameter Extraction: An LLM-Based Ranking Approach to Select Initial Studies for Literature Review Automation","publication_year":2025,"publication_date":"2025-03-26","ids":{"openalex":"https://openalex.org/W4408928827","doi":"https://doi.org/10.3390/make7020028","pmid":"https://pubmed.ncbi.nlm.nih.gov/41939135"},"language":"en","primary_location":{"id":"doi:10.3390/make7020028","is_oa":true,"landing_page_url":"https://doi.org/10.3390/make7020028","pdf_url":"https://www.mdpi.com/2504-4990/7/2/28/pdf?version=1743002497","source":{"id":"https://openalex.org/S4210213891","display_name":"Machine Learning and Knowledge Extraction","issn_l":"2504-4990","issn":["2504-4990"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310310987","host_organization_name":"Multidisciplinary Digital Publishing Institute","host_organization_lineage":["https://openalex.org/P4310310987"],"host_organization_lineage_names":["Multidisciplinary Digital Publishing Institute"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Machine Learning and Knowledge Extraction","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","doaj","pubmed"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://www.mdpi.com/2504-4990/7/2/28/pdf?version=1743002497","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5026248307","display_name":"Masood Sujau","orcid":null},"institutions":[{"id":"https://openalex.org/I51158804","display_name":"Massey University","ror":"https://ror.org/052czxv31","country_code":"NZ","type":"education","lineage":["https://openalex.org/I51158804"]}],"countries":["NZ"],"is_corresponding":true,"raw_author_name":"Masood Sujau","raw_affiliation_strings":["School of Veterinary Science, Massey University, Palmerston North 4442, New Zealand"],"raw_orcid":"https://orcid.org/0009-0009-6053-6097","affiliations":[{"raw_affiliation_string":"School of Veterinary Science, Massey University, Palmerston North 4442, New Zealand","institution_ids":["https://openalex.org/I51158804"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5029525727","display_name":"Masako Wada","orcid":"https://orcid.org/0000-0002-1186-9364"},"institutions":[{"id":"https://openalex.org/I51158804","display_name":"Massey University","ror":"https://ror.org/052czxv31","country_code":"NZ","type":"education","lineage":["https://openalex.org/I51158804"]}],"countries":["NZ"],"is_corresponding":false,"raw_author_name":"Masako Wada","raw_affiliation_strings":["School of Veterinary Science, Massey University, Palmerston North 4442, New Zealand"],"raw_orcid":"https://orcid.org/0000-0002-1186-9364","affiliations":[{"raw_affiliation_string":"School of Veterinary Science, Massey University, Palmerston North 4442, New Zealand","institution_ids":["https://openalex.org/I51158804"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5081071722","display_name":"\u00c9milie Vall\u00e9e","orcid":"https://orcid.org/0000-0002-3145-5468"},"institutions":[{"id":"https://openalex.org/I51158804","display_name":"Massey University","ror":"https://ror.org/052czxv31","country_code":"NZ","type":"education","lineage":["https://openalex.org/I51158804"]}],"countries":["NZ"],"is_corresponding":false,"raw_author_name":"Emilie Vall\u00e9e","raw_affiliation_strings":["School of Veterinary Science, Massey University, Palmerston North 4442, New Zealand"],"raw_orcid":"https://orcid.org/0000-0002-3145-5468","affiliations":[{"raw_affiliation_string":"School of Veterinary Science, Massey University, Palmerston North 4442, New Zealand","institution_ids":["https://openalex.org/I51158804"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5115961910","display_name":"Natalie Hillis","orcid":null},"institutions":[{"id":"https://openalex.org/I51158804","display_name":"Massey University","ror":"https://ror.org/052czxv31","country_code":"NZ","type":"education","lineage":["https://openalex.org/I51158804"]}],"countries":["NZ"],"is_corresponding":false,"raw_author_name":"Natalie Hillis","raw_affiliation_strings":["School of Veterinary Science, Massey University, Palmerston North 4442, New Zealand"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Veterinary Science, Massey University, Palmerston North 4442, New Zealand","institution_ids":["https://openalex.org/I51158804"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5037915797","display_name":"Teo Su\u0161njak","orcid":"https://orcid.org/0000-0001-9416-1435"},"institutions":[{"id":"https://openalex.org/I51158804","display_name":"Massey University","ror":"https://ror.org/052czxv31","country_code":"NZ","type":"education","lineage":["https://openalex.org/I51158804"]}],"countries":["NZ"],"is_corresponding":false,"raw_author_name":"Teo Su\u0161njak","raw_affiliation_strings":["School of Mathematical and Computational Sciences, Massey University, Auckland 0632, New Zealand"],"raw_orcid":"https://orcid.org/0000-0001-9416-1435","affiliations":[{"raw_affiliation_string":"School of Mathematical and Computational Sciences, Massey University, Auckland 0632, New Zealand","institution_ids":["https://openalex.org/I51158804"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":5,"corresponding_author_ids":["https://openalex.org/A5026248307"],"corresponding_institution_ids":["https://openalex.org/I51158804"],"apc_list":{"value":1400,"currency":"CHF","value_usd":1515},"apc_paid":{"value":1400,"currency":"CHF","value_usd":1515},"fwci":1.4982,"has_fulltext":true,"cited_by_count":1,"citation_normalized_percentile":{"value":0.7961827,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":95,"max":98},"biblio":{"volume":"7","issue":"2","first_page":"28","last_page":"28"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12492","display_name":"Zoonotic diseases and public health","score":0.9854000210762024,"subfield":{"id":"https://openalex.org/subfields/2739","display_name":"Public Health, Environmental and Occupational Health"},"field":{"id":"https://openalex.org/fields/27","display_name":"Medicine"},"domain":{"id":"https://openalex.org/domains/4","display_name":"Health Sciences"}},"topics":[{"id":"https://openalex.org/T12492","display_name":"Zoonotic diseases and public health","score":0.9854000210762024,"subfield":{"id":"https://openalex.org/subfields/2739","display_name":"Public Health, Environmental and Occupational Health"},"field":{"id":"https://openalex.org/fields/27","display_name":"Medicine"},"domain":{"id":"https://openalex.org/domains/4","display_name":"Health Sciences"}},{"id":"https://openalex.org/T12047","display_name":"Viral Infections and Vectors","score":0.9611999988555908,"subfield":{"id":"https://openalex.org/subfields/2725","display_name":"Infectious Diseases"},"field":{"id":"https://openalex.org/fields/27","display_name":"Medicine"},"domain":{"id":"https://openalex.org/domains/4","display_name":"Health Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/ranking","display_name":"Ranking (information retrieval)","score":0.7301055788993835},{"id":"https://openalex.org/keywords/automation","display_name":"Automation","score":0.6367361545562744},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.526982307434082},{"id":"https://openalex.org/keywords/extraction","display_name":"Extraction (chemistry)","score":0.443536639213562},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.29535576701164246},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.2588251233100891},{"id":"https://openalex.org/keywords/chromatography","display_name":"Chromatography","score":0.11040526628494263},{"id":"https://openalex.org/keywords/mechanical-engineering","display_name":"Mechanical engineering","score":0.07094934582710266},{"id":"https://openalex.org/keywords/chemistry","display_name":"Chemistry","score":0.06972599029541016}],"concepts":[{"id":"https://openalex.org/C189430467","wikidata":"https://www.wikidata.org/wiki/Q7293293","display_name":"Ranking (information retrieval)","level":2,"score":0.7301055788993835},{"id":"https://openalex.org/C115901376","wikidata":"https://www.wikidata.org/wiki/Q184199","display_name":"Automation","level":2,"score":0.6367361545562744},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.526982307434082},{"id":"https://openalex.org/C4725764","wikidata":"https://www.wikidata.org/wiki/Q844704","display_name":"Extraction (chemistry)","level":2,"score":0.443536639213562},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.29535576701164246},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.2588251233100891},{"id":"https://openalex.org/C43617362","wikidata":"https://www.wikidata.org/wiki/Q170050","display_name":"Chromatography","level":1,"score":0.11040526628494263},{"id":"https://openalex.org/C78519656","wikidata":"https://www.wikidata.org/wiki/Q101333","display_name":"Mechanical engineering","level":1,"score":0.07094934582710266},{"id":"https://openalex.org/C185592680","wikidata":"https://www.wikidata.org/wiki/Q2329","display_name":"Chemistry","level":0,"score":0.06972599029541016}],"mesh":[],"locations_count":4,"locations":[{"id":"doi:10.3390/make7020028","is_oa":true,"landing_page_url":"https://doi.org/10.3390/make7020028","pdf_url":"https://www.mdpi.com/2504-4990/7/2/28/pdf?version=1743002497","source":{"id":"https://openalex.org/S4210213891","display_name":"Machine Learning and Knowledge Extraction","issn_l":"2504-4990","issn":["2504-4990"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310310987","host_organization_name":"Multidisciplinary Digital Publishing Institute","host_organization_lineage":["https://openalex.org/P4310310987"],"host_organization_lineage_names":["Multidisciplinary Digital Publishing Institute"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Machine Learning and Knowledge Extraction","raw_type":"journal-article"},{"id":"pmid:41939135","is_oa":false,"landing_page_url":"https://pubmed.ncbi.nlm.nih.gov/41939135","pdf_url":null,"source":{"id":"https://openalex.org/S4306525036","display_name":"PubMed","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I1299303238","host_organization_name":"National Institutes of Health","host_organization_lineage":["https://openalex.org/I1299303238"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Machine learning and knowledge extraction","raw_type":null},{"id":"pmh:oai:doaj.org/article:0f08be7e92fa4064b8fd1771d31fc0ed","is_oa":true,"landing_page_url":"https://doaj.org/article/0f08be7e92fa4064b8fd1771d31fc0ed","pdf_url":null,"source":{"id":"https://openalex.org/S4306401280","display_name":"DOAJ (DOAJ: Directory of Open Access Journals)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by-sa","license_id":"https://openalex.org/licenses/cc-by-sa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Machine Learning and Knowledge Extraction, Vol 7, Iss 2, p 28 (2025)","raw_type":"article"},{"id":"pmh:oai:pubmedcentral.nih.gov:7618976","is_oa":true,"landing_page_url":"https://pmc.ncbi.nlm.nih.gov/articles/PMC7618976/","pdf_url":null,"source":{"id":"https://openalex.org/S2764455111","display_name":"PubMed Central","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I1299303238","host_organization_name":"National Institutes of Health","host_organization_lineage":["https://openalex.org/I1299303238"],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Mach Learn Knowl Extr","raw_type":"Text"}],"best_oa_location":{"id":"doi:10.3390/make7020028","is_oa":true,"landing_page_url":"https://doi.org/10.3390/make7020028","pdf_url":"https://www.mdpi.com/2504-4990/7/2/28/pdf?version=1743002497","source":{"id":"https://openalex.org/S4210213891","display_name":"Machine Learning and Knowledge Extraction","issn_l":"2504-4990","issn":["2504-4990"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310310987","host_organization_name":"Multidisciplinary Digital Publishing Institute","host_organization_lineage":["https://openalex.org/P4310310987"],"host_organization_lineage_names":["Multidisciplinary Digital Publishing Institute"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Machine Learning and Knowledge Extraction","raw_type":"journal-article"},"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G4312338756","display_name":null,"funder_award_id":"226044/Z/22/Z","funder_id":"https://openalex.org/F4320307874","funder_display_name":"Wellcome"}],"funders":[{"id":"https://openalex.org/F4320307874","display_name":"Wellcome","ror":"https://ror.org/029chgv08"},{"id":"https://openalex.org/F4320311904","display_name":"Wellcome Trust","ror":"https://ror.org/029chgv08"}],"has_content":{"pdf":true,"grobid_xml":false},"content_urls":{"pdf":"https://content.openalex.org/works/W4408928827.pdf"},"referenced_works_count":71,"referenced_works":["https://openalex.org/W2028540474","https://openalex.org/W2045334870","https://openalex.org/W2095601341","https://openalex.org/W2099087018","https://openalex.org/W2124493593","https://openalex.org/W2125834258","https://openalex.org/W2127435093","https://openalex.org/W2133734699","https://openalex.org/W2172015886","https://openalex.org/W2567362164","https://openalex.org/W2765563228","https://openalex.org/W2785937154","https://openalex.org/W2896457183","https://openalex.org/W2901787936","https://openalex.org/W2944878516","https://openalex.org/W2969341057","https://openalex.org/W3008374555","https://openalex.org/W3027879771","https://openalex.org/W3046375318","https://openalex.org/W3095902429","https://openalex.org/W3164863290","https://openalex.org/W3178695691","https://openalex.org/W3203912530","https://openalex.org/W4205155579","https://openalex.org/W4213009331","https://openalex.org/W4221143046","https://openalex.org/W4252076394","https://openalex.org/W4282937925","https://openalex.org/W4301322423","https://openalex.org/W4312048304","https://openalex.org/W4319962920","https://openalex.org/W4367309809","https://openalex.org/W4376619531","https://openalex.org/W4376872593","https://openalex.org/W4379468413","https://openalex.org/W4383722515","https://openalex.org/W4385688511","https://openalex.org/W4387144848","https://openalex.org/W4387450484","https://openalex.org/W4387928869","https://openalex.org/W4388858816","https://openalex.org/W4388927862","https://openalex.org/W4388955618","https://openalex.org/W4389519928","https://openalex.org/W4389917881","https://openalex.org/W4390490761","https://openalex.org/W4391136507","https://openalex.org/W4392002118","https://openalex.org/W4393222088","https://openalex.org/W4398144822","https://openalex.org/W4399280155","https://openalex.org/W4399668246","https://openalex.org/W4400341182","https://openalex.org/W4400411501","https://openalex.org/W4400526908","https://openalex.org/W4400582718","https://openalex.org/W4400933660","https://openalex.org/W4401633394","https://openalex.org/W4401667275","https://openalex.org/W4401834466","https://openalex.org/W4402223428","https://openalex.org/W4402404036","https://openalex.org/W4404229852","https://openalex.org/W4407028609","https://openalex.org/W4408763854","https://openalex.org/W6739901393","https://openalex.org/W6777615688","https://openalex.org/W6781031682","https://openalex.org/W6809646742","https://openalex.org/W6838865847","https://openalex.org/W6858386569"],"related_works":["https://openalex.org/W4391375266","https://openalex.org/W2899084033","https://openalex.org/W2748952813","https://openalex.org/W2390279801","https://openalex.org/W4391913857","https://openalex.org/W2358668433","https://openalex.org/W4396701345","https://openalex.org/W2376932109","https://openalex.org/W2001405890","https://openalex.org/W4396696052"],"abstract_inverted_index":{"As":[0],"climate":[1,152],"change":[2],"transforms":[3],"our":[4],"environment":[5],"and":[6,24,69,71,110,149],"human":[7,75],"intrusion":[8],"into":[9],"natural":[10],"ecosystems":[11],"escalates,":[12],"there":[13],"is":[14,72],"a":[15,63,83,107,119,132,150],"growing":[16],"demand":[17],"for":[18,26,91,162,177],"disease":[19,30,97],"spread":[20],"models":[21,36],"to":[22,74,128],"forecast":[23],"plan":[25],"the":[27,43,47,52,80,101,115,169,175,192,207],"next":[28],"zoonotic":[29,96,147],"outbreak.":[31],"Accurate":[32],"parametrization":[33],"of":[34,49,55,82,104,121,135,168,194],"these":[35,56],"requires":[37],"data":[38,57],"from":[39,206],"diverse":[40],"sources,":[41],"including":[42],"scientific":[44,50,208],"literature.":[45,209],"Despite":[46],"abundance":[48],"publications,":[51],"manual":[53,129],"extraction":[54,205],"via":[58],"systematic":[59,181],"literature":[60,182],"reviews":[61],"remains":[62],"significant":[64],"bottleneck,":[65],"requiring":[66],"extensive":[67],"time":[68],"resources,":[70],"susceptible":[73],"error.":[76],"This":[77,138],"study":[78],"examines":[79],"application":[81,179],"large":[84],"language":[85],"model":[86],"(LLM)":[87],"as":[88,106],"an":[89,199],"assessor":[90],"screening":[92,130,188],"prioritisation":[93],"in":[94,180,187],"climate-sensitive":[95],"research.":[98],"By":[99],"framing":[100],"selection":[102],"criteria":[103],"articles":[105],"question-answer":[108],"task":[109],"utilising":[111],"zero-shot":[112],"chain-of-thought":[113],"prompting,":[114],"proposed":[116],"method":[117],"achieves":[118],"saving":[120],"at":[122,131],"least":[123],"70%":[124],"work":[125],"effort":[126],"compared":[127],"recall":[133],"level":[134],"95%":[136],"(NWSS@95%).":[137],"was":[139],"validated":[140],"across":[141,171],"four":[142,145],"datasets":[143],"containing":[144],"distinct":[146],"diseases":[148,173],"critical":[151],"variable":[153],"(rainfall).":[154],"The":[155,166,184],"approach":[156,170],"additionally":[157],"produces":[158],"explainable":[159,195],"AI":[160,196],"rationales":[161],"each":[163],"ranked":[164],"article.":[165],"effectiveness":[167],"multiple":[172],"demonstrates":[174],"potential":[176],"broad":[178],"reviews.":[183],"substantial":[185],"reduction":[186],"effort,":[189],"along":[190],"with":[191],"provision":[193],"rationales,":[197],"marks":[198],"important":[200],"step":[201],"toward":[202],"automated":[203],"parameter":[204]},"counts_by_year":[{"year":2026,"cited_by_count":1}],"updated_date":"2026-05-21T06:26:12.895304","created_date":"2025-10-10T00:00:00"}