{"id":"https://openalex.org/W7224373979","doi":"https://doi.org/10.5281/zenodo.21900147","title":"An expert-curated sentence-level corpus of lipid\u2013phenotype and lipid\u2013function relations, with release tiers","display_name":"An expert-curated sentence-level corpus of lipid\u2013phenotype and lipid\u2013function relations, with release tiers","publication_year":2026,"publication_date":"2026-10-29","ids":{"openalex":"https://openalex.org/W7224373979","doi":"https://doi.org/10.5281/zenodo.21900147"},"language":"en","primary_location":{"id":"doi:10.5281/zenodo.21900147","doi":"https://doi.org/10.5281/zenodo.21900147","is_oa":true,"landing_page_url":"https://doi.org/10.5281/zenodo.21900147","pdf_url":null,"source":{"id":"https://openalex.org/S4306400562","display_name":"Zenodo (CERN European Organization for Nuclear Research)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"listed_in":[],"host_organization":"https://openalex.org/I67311998","host_organization_name":"European Organization for Nuclear Research","host_organization_lineage":["https://openalex.org/I67311998"],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":null,"is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"Dataset"},"volume":null,"type":"dataset","is_traditional":false,"indexed_in":["datacite"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://doi.org/10.5281/zenodo.21900147","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5101840303","display_name":"Wen-Jen Lin","orcid":"https://orcid.org/0000-0001-9568-9178","observed_orcids":["https://orcid.org/0000-0001-9568-9178"]},"institutions":[{"id":"https://openalex.org/I4210158999","display_name":"National Cheng Kung University Hospital","ror":"https://ror.org/04zx3rq17","country_code":"TW","type":"healthcare","lineage":["https://openalex.org/I4210158999"]}],"countries":["TW"],"is_corresponding":false,"raw_author_name":"Lin, Wen-Jen","raw_affiliation_strings":["National Cheng Kung University Hospital"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"National Cheng Kung University Hospital","institution_ids":["https://openalex.org/I4210158999"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5110946500","display_name":"Pei-Chun Shen","orcid":"https://orcid.org/0009-0001-0733-5706","observed_orcids":["https://orcid.org/0009-0001-0733-5706"]},"institutions":[{"id":"https://openalex.org/I184693016","display_name":"China Medical University","ror":"https://ror.org/00v408z34","country_code":"TW","type":"education","lineage":["https://openalex.org/I184693016"]},{"id":"https://openalex.org/I91656880","display_name":"China Medical University","ror":"https://ror.org/032d4f246","country_code":"CN","type":"education","lineage":["https://openalex.org/I91656880"]}],"countries":["CN","TW"],"is_corresponding":false,"raw_author_name":"Shen, Pei-Chun","raw_affiliation_strings":["China Medical University"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"China Medical University","institution_ids":["https://openalex.org/I184693016","https://openalex.org/I91656880"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5008706063","display_name":"Hsiu-Cheng Liu","orcid":null,"observed_orcids":[]},"institutions":[{"id":"https://openalex.org/I184693016","display_name":"China Medical University","ror":"https://ror.org/00v408z34","country_code":"TW","type":"education","lineage":["https://openalex.org/I184693016"]},{"id":"https://openalex.org/I91656880","display_name":"China Medical University","ror":"https://ror.org/032d4f246","country_code":"CN","type":"education","lineage":["https://openalex.org/I91656880"]}],"countries":["CN","TW"],"is_corresponding":false,"raw_author_name":"Liu, Hsiu-Cheng","raw_affiliation_strings":["China Medical University"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"China Medical University","institution_ids":["https://openalex.org/I184693016","https://openalex.org/I91656880"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5083180396","display_name":"Nai\u2010Wen Chang","orcid":"https://orcid.org/0000-0002-6842-9693","observed_orcids":["https://orcid.org/0000-0002-6842-9693"]},"institutions":[{"id":"https://openalex.org/I4210131804","display_name":"National Taiwan University Hospital","ror":"https://ror.org/03nteze27","country_code":"TW","type":"healthcare","lineage":["https://openalex.org/I4210131804"]}],"countries":["TW"],"is_corresponding":false,"raw_author_name":"Chang, Nai-Wen","raw_affiliation_strings":["National Taiwan University Hospital"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"National Taiwan University Hospital","institution_ids":["https://openalex.org/I4210131804"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5150007728","display_name":"Chia-Hsin Liu","orcid":null,"observed_orcids":[]},"institutions":[{"id":"https://openalex.org/I152743029","display_name":"Kaohsiung Medical University","ror":"https://ror.org/03gk81f96","country_code":"TW","type":"education","lineage":["https://openalex.org/I152743029"]}],"countries":["TW"],"is_corresponding":false,"raw_author_name":"Liu, Chia-Hsin","raw_affiliation_strings":["Kaohsiung Medical University"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Kaohsiung Medical University","institution_ids":["https://openalex.org/I152743029"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5068185287","display_name":"Wei\u2010Chung Cheng","orcid":"https://orcid.org/0000-0002-1229-4857","observed_orcids":["https://orcid.org/0000-0002-1229-4857","https://orcid.org/0009-0004-9481-4976"]},"institutions":[{"id":"https://openalex.org/I184693016","display_name":"China Medical University","ror":"https://ror.org/00v408z34","country_code":"TW","type":"education","lineage":["https://openalex.org/I184693016"]},{"id":"https://openalex.org/I91656880","display_name":"China Medical University","ror":"https://ror.org/032d4f246","country_code":"CN","type":"education","lineage":["https://openalex.org/I91656880"]}],"countries":["CN","TW"],"is_corresponding":false,"raw_author_name":"Cheng, Wei-Chung","raw_affiliation_strings":["China Medical University"],"raw_orcid":"https://orcid.org/0000-0002-1229-4857","affiliations":[{"raw_affiliation_string":"China Medical University","institution_ids":["https://openalex.org/I184693016","https://openalex.org/I91656880"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":5,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":null,"last_page":null},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11710","display_name":"Biomedical Text Mining and Ontologies","score":1.0,"subfield":{"id":"https://openalex.org/subfields/2718","display_name":"Health Informatics"},"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/T11710","display_name":"Biomedical Text Mining and Ontologies","score":1.0,"subfield":{"id":"https://openalex.org/subfields/2718","display_name":"Health Informatics"},"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/T13083","display_name":"Advanced Text Analysis Techniques","score":0.0,"subfield":{"id":"https://openalex.org/subfields/1702","display_name":"Artificial Intelligence"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T10664","display_name":"Sentiment Analysis and Opinion Mining","score":0.0,"subfield":{"id":"https://openalex.org/subfields/1702","display_name":"Artificial Intelligence"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/expert-annotation","display_name":"expert annotation","score":0.5370000004768372},{"id":"https://openalex.org/keywords/pubmed-abstracts","display_name":"PubMed abstracts","score":0.6060000061988831},{"id":"https://openalex.org/keywords/inter-annotator-agreement","display_name":"inter-annotator agreement","score":0.8240000009536743},{"id":"https://openalex.org/keywords/negative-control","display_name":"negative control","score":0.3140000104904175}],"concepts":[{"id":"https://openalex.org/C25343380","wikidata":"https://www.wikidata.org/wiki/Q277521","display_name":"Relation (database)","level":2,"score":0.7233999967575073},{"id":"https://openalex.org/C2776321320","wikidata":"https://www.wikidata.org/wiki/Q857525","display_name":"Annotation","level":2,"score":0.6446999907493591},{"id":"https://openalex.org/C177264268","wikidata":"https://www.wikidata.org/wiki/Q1514741","display_name":"Set (abstract data type)","level":2,"score":0.6208000183105469},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5976999998092651},{"id":"https://openalex.org/C204321447","wikidata":"https://www.wikidata.org/wiki/Q30642","display_name":"Natural language processing","level":1,"score":0.5512999892234802},{"id":"https://openalex.org/C2780861071","wikidata":"https://www.wikidata.org/wiki/Q1062934","display_name":"Character (mathematics)","level":2,"score":0.5074999928474426},{"id":"https://openalex.org/C23123220","wikidata":"https://www.wikidata.org/wiki/Q816826","display_name":"Information retrieval","level":1,"score":0.48899999260902405},{"id":"https://openalex.org/C64869954","wikidata":"https://www.wikidata.org/wiki/Q1859747","display_name":"False positive paradox","level":2,"score":0.4555000066757202},{"id":"https://openalex.org/C58489278","wikidata":"https://www.wikidata.org/wiki/Q1172284","display_name":"Data set","level":2,"score":0.4433000087738037},{"id":"https://openalex.org/C2776818064","wikidata":"https://www.wikidata.org/wiki/Q829903","display_name":"Agreement","level":2,"score":0.3944000005722046},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.3714999854564667},{"id":"https://openalex.org/C77618280","wikidata":"https://www.wikidata.org/wiki/Q1155772","display_name":"Scheme (mathematics)","level":2,"score":0.3082999885082245},{"id":"https://openalex.org/C111219384","wikidata":"https://www.wikidata.org/wiki/Q6954384","display_name":"NIST","level":2,"score":0.2953000068664551},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.2883000075817108},{"id":"https://openalex.org/C94124525","wikidata":"https://www.wikidata.org/wiki/Q912550","display_name":"Categorization","level":2,"score":0.28040000796318054},{"id":"https://openalex.org/C2474386","wikidata":"https://www.wikidata.org/wiki/Q461183","display_name":"Text corpus","level":2,"score":0.2757999897003174},{"id":"https://openalex.org/C2780876879","wikidata":"https://www.wikidata.org/wiki/Q3054749","display_name":"Meaning (existential)","level":2,"score":0.25859999656677246},{"id":"https://openalex.org/C112789634","wikidata":"https://www.wikidata.org/wiki/Q18207010","display_name":"False positives and false negatives","level":3,"score":0.2515999972820282}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.5281/zenodo.21900147","doi":"https://doi.org/10.5281/zenodo.21900147","is_oa":true,"landing_page_url":"https://doi.org/10.5281/zenodo.21900147","pdf_url":null,"source":{"id":"https://openalex.org/S4306400562","display_name":"Zenodo (CERN European Organization for Nuclear Research)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"listed_in":[],"host_organization":"https://openalex.org/I67311998","host_organization_name":"European Organization for Nuclear Research","host_organization_lineage":["https://openalex.org/I67311998"],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":null,"is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"Dataset"},{"id":"doi:10.5281/zenodo.21900148","doi":"https://doi.org/10.5281/zenodo.21900148","is_oa":true,"landing_page_url":"https://doi.org/10.5281/zenodo.21900148","pdf_url":null,"source":{"id":"https://openalex.org/S4306400562","display_name":"Zenodo (CERN European Organization for Nuclear Research)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"listed_in":[],"host_organization":"https://openalex.org/I67311998","host_organization_name":"European Organization for Nuclear Research","host_organization_lineage":["https://openalex.org/I67311998"],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":null,"is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"Dataset"}],"best_oa_location":{"id":"doi:10.5281/zenodo.21900147","doi":"https://doi.org/10.5281/zenodo.21900147","is_oa":true,"landing_page_url":"https://doi.org/10.5281/zenodo.21900147","pdf_url":null,"source":{"id":"https://openalex.org/S4306400562","display_name":"Zenodo (CERN European Organization for Nuclear Research)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"listed_in":[],"host_organization":"https://openalex.org/I67311998","host_organization_name":"European Organization for Nuclear Research","host_organization_lineage":["https://openalex.org/I67311998"],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":null,"is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"Dataset"},"sustainable_development_goals":[{"score":0.4043000042438507,"id":"https://metadata.un.org/sdg/3","display_name":"Good health and well-being"}],"study_designs":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":0,"referenced_works":[],"related_works":["https://openalex.org/W4408389181","https://openalex.org/W6921022099","https://openalex.org/W6967824564","https://openalex.org/W7213543628","https://openalex.org/W6962480994","https://openalex.org/W6958857930","https://openalex.org/W4387391475","https://openalex.org/W6939838175","https://openalex.org/W6920965803","https://openalex.org/W7143354251"],"abstract_inverted_index":{"An":[0],"expert-curated,":[1],"sentence-level":[2,20],"corpus":[3,17,121,180],"of":[4,89,129],"lipid\u2013phenotype":[5,35],"and":[6,14,37,48,59,77,105,111,126,181,210],"lipid\u2013biological-function":[7,39],"relation":[8,21,57],"statements":[9],"extracted":[10],"from":[11,27,231],"PubMed":[12,30],"titles":[13],"abstracts.":[15],"The":[16,109,175,227],"comprises":[18],"7,524":[19],"records":[22],"(7,489":[23],"distinct":[24,29],"sentences)":[25],"drawn":[26],"7,464":[28],"articles,":[31],"divided":[32],"into":[33],"4,060":[34],"(PF)":[36],"3,464":[38],"(BF)":[40],"records.":[41],"Each":[42],"record":[43,86],"provides":[44,122],"the":[45,56,117,120,156,178,185,192,197,211,232,245],"normalized":[46],"lipid":[47],"target":[49],"entities":[50],"with":[51,74],"1-indexed":[52],"inclusive":[53],"character":[54],"offsets,":[55],"cue,":[58],"four":[60,90],"independent":[61],"expert":[62],"labels":[63],"(YES":[64],"/":[65,67,144,146],"No":[66],"unknown)":[68],"recorded":[69],"in":[70],"a":[71,127,188,199,222],"single":[72],"pass":[73],"no":[75,78],"discussion":[76],"reconciliation":[79],"step.":[80],"A":[81,138],"deterministic":[82],"rule":[83],"assigns":[84],"every":[85],"to":[87],"one":[88],"release":[91,244],"tiers:":[92],"positive":[93],"agreement":[94,98,154,168],"(T1,":[95],"6,559),":[96],"negative":[97,124],"(T2,":[99],"279),":[100],"mixed":[101],"disagreement":[102,190],"(T3,":[103],"309),":[104],"unresolved":[106],"(T4,":[107],"377).":[108],"negative-agreement":[110],"mixed-disagreement":[112],"tiers":[113,151],"are":[114,216],"released":[115],"alongside":[116],"positives,":[118],"so":[119],"expert-vetted":[123],"controls":[125],"set":[128],"hard,":[130],"genuinely":[131],"contested":[132],"cases":[133],"rather":[134],"than":[135],"positives":[136],"alone.":[137],"PMID-grouped,":[139],"stratified":[140],"train/development/test":[141],"split":[142,186],"(4,789":[143],"1,142":[145],"1,216)":[147],"is":[148],"provided":[149],"for":[150],"T1\u2013T3.":[152],"Inter-annotator":[153],"on":[155],"combined":[157],"pool:":[158],"Fleiss":[159],"\u03ba":[160],"=":[161,165,169,173],"0.629,":[162,166],"Krippendorff":[163],"\u03b1":[164],"percent":[167],"92.5%,":[170],"Gwet":[171],"AC1":[172],"0.916.":[174],"deposit":[176],"includes":[177],"main":[179],"its":[182],"two":[183],"sub-corpora,":[184],"assignments,":[187],"Tier-3":[189],"taxonomy,":[191],"annotation":[193],"guideline":[194],"used":[195],"by":[196],"annotators,":[198],"full":[200],"data":[201],"dictionary,":[202],"an":[203],"automated":[204],"quality-control":[205],"summary":[206],"(0":[207],"hard":[208],"failures),":[209],"analysis":[212],"code.":[213],"Annotator":[214],"identities":[215],"anonymized":[217],"throughout.":[218],"This":[219],"dataset":[220],"accompanies":[221],"Scientific":[223],"Data":[224,225],"Descriptor.":[226],"curation":[228],"pool":[229],"originates":[230],"LipidFun":[233],"database":[234],"(Lin":[235],"et":[236],"al.,":[237],"Bioinformatics":[238],"2025,":[239],"doi:10.1093/bioinformatics/btaf110),":[240],"which":[241],"did":[242],"not":[243],"annotated":[246],"sentences.":[247]},"counts_by_year":[],"updated_date":"2026-10-31T12:09:11.096373","created_date":"2026-10-30T00:00:00"}
