{"id":"https://openalex.org/W7225800570","doi":"https://doi.org/10.1038/s41598-026-80009-y","title":"Cost-calibrated decision rules for small-sample experimental screening pipelines","display_name":"Cost-calibrated decision rules for small-sample experimental screening pipelines","publication_year":2026,"publication_date":"2026-11-11","ids":{"openalex":"https://openalex.org/W7225800570","doi":"https://doi.org/10.1038/s41598-026-80009-y"},"language":"en","primary_location":{"id":"doi:10.1038/s41598-026-80009-y","doi":"https://doi.org/10.1038/s41598-026-80009-y","is_oa":true,"landing_page_url":"https://doi.org/10.1038/s41598-026-80009-y","pdf_url":null,"source":{"id":"https://openalex.org/S196734849","display_name":"Scientific Reports","issn_l":"2045-2322","issn":["2045-2322"],"is_oa":true,"is_in_doaj":true,"is_core":true,"listed_in":["anvur-class-a","anvur-scientific","cwts-core","doaj","dongbi-c","doyens","jufo-1","ki-jl-1","medline","norway-1","poland-140","russia-white-list-1","vabb-shw"],"host_organization":"https://openalex.org/P4310319908","host_organization_name":"Nature Portfolio","host_organization_lineage":["https://openalex.org/P4310319908","https://openalex.org/P4310319965"],"host_organization_lineage_names":["Nature Portfolio","Springer Nature"],"type":"journal"},"license":"cc-by-nc-nd","license_id":"https://openalex.org/licenses/cc-by-nc-nd","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Scientific Reports","raw_type":"journal-article"},"volume":null,"type":"article","is_traditional":true,"indexed_in":["crossref","doaj"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://doi.org/10.1038/s41598-026-80009-y","any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5006821758","display_name":"Branimir K. Hackenberger","orcid":"https://orcid.org/0000-0003-4317-2067","observed_orcids":["https://orcid.org/0000-0003-4317-2067"]},"institutions":[{"id":"https://openalex.org/I51314090","display_name":"University of Osijek","ror":"https://ror.org/05sw4wc49","country_code":"HR","type":"education","lineage":["https://openalex.org/I51314090"]}],"countries":["HR"],"is_corresponding":false,"raw_author_name":"Branimir K. Hackenberger","raw_affiliation_strings":["Department of Biology, Josip Juraj Strossmayer University of Osijek, Cara Hadrijana 8/A, 31000, Osijek, Croatia","Department of Environmental Intelligence and Technology, SCIOM, Fruskogorska 5, 31000, Osijek, Croatia"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Biology, Josip Juraj Strossmayer University of Osijek, Cara Hadrijana 8/A, 31000, Osijek, Croatia","institution_ids":["https://openalex.org/I51314090"]},{"raw_affiliation_string":"Department of Environmental Intelligence and Technology, SCIOM, Fruskogorska 5, 31000, Osijek, Croatia","institution_ids":["https://openalex.org/I51314090"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5140301916","display_name":"T. Domagoj","orcid":null,"observed_orcids":[]},"institutions":[{"id":"https://openalex.org/I4210123216","display_name":"Ru\u0111er Bo\u0161kovi\u0107 Institute","ror":"https://ror.org/02mw21745","country_code":"HR","type":"facility","lineage":["https://openalex.org/I4210123216"]}],"countries":["HR"],"is_corresponding":false,"raw_author_name":"Domagoj K. Hackenberger","raw_affiliation_strings":["Division for Marine and Environmental Research, Rudjer Boskovic Institute, Bijenicka cesta 54, 10000, Zagreb, Croatia"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Division for Marine and Environmental Research, Rudjer Boskovic Institute, Bijenicka cesta 54, 10000, Zagreb, Croatia","institution_ids":["https://openalex.org/I4210123216"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5012591317","display_name":"Tamara Djerdj","orcid":"https://orcid.org/0000-0003-2449-399X","observed_orcids":["https://orcid.org/0000-0003-2449-399X"]},"institutions":[{"id":"https://openalex.org/I51314090","display_name":"University of Osijek","ror":"https://ror.org/05sw4wc49","country_code":"HR","type":"education","lineage":["https://openalex.org/I51314090"]}],"countries":["HR"],"is_corresponding":true,"raw_author_name":"Tamara Djerdj","raw_affiliation_strings":["Department of Biology, Josip Juraj Strossmayer University of Osijek, Cara Hadrijana 8/A, 31000, Osijek, Croatia"],"raw_orcid":"https://orcid.org/0000-0003-2449-399X","affiliations":[{"raw_affiliation_string":"Department of Biology, Josip Juraj Strossmayer University of Osijek, Cara Hadrijana 8/A, 31000, Osijek, Croatia","institution_ids":["https://openalex.org/I51314090"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5012591317"],"corresponding_institution_ids":["https://openalex.org/I51314090"],"apc_list":{"value":2690,"currency":"USD","value_usd":2690},"apc_paid":{"value":2690,"currency":"USD","value_usd":2690},"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.0,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"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/T11235","display_name":"Statistical Methods in Clinical Trials","score":0.5913000106811523,"subfield":{"id":"https://openalex.org/subfields/2613","display_name":"Statistics and Probability"},"field":{"id":"https://openalex.org/fields/26","display_name":"Mathematics"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},"topics":[{"id":"https://openalex.org/T11235","display_name":"Statistical Methods in Clinical Trials","score":0.5913000106811523,"subfield":{"id":"https://openalex.org/subfields/2613","display_name":"Statistics and Probability"},"field":{"id":"https://openalex.org/fields/26","display_name":"Mathematics"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T10243","display_name":"Statistical Methods and Bayesian Inference","score":0.2468000054359436,"subfield":{"id":"https://openalex.org/subfields/2613","display_name":"Statistics and Probability"},"field":{"id":"https://openalex.org/fields/26","display_name":"Mathematics"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T10206","display_name":"Meta-analysis and systematic reviews","score":0.06669999659061432,"subfield":{"id":"https://openalex.org/subfields/1804","display_name":"Statistics, Probability and Uncertainty"},"field":{"id":"https://openalex.org/fields/18","display_name":"Decision Sciences"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}}],"keywords":[],"concepts":[{"id":"https://openalex.org/C162376815","wikidata":"https://www.wikidata.org/wiki/Q2158281","display_name":"Frequentist inference","level":4,"score":0.7186999917030334},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6948999762535095},{"id":"https://openalex.org/C43521106","wikidata":"https://www.wikidata.org/wiki/Q2165493","display_name":"Pipeline (software)","level":2,"score":0.5807999968528748},{"id":"https://openalex.org/C207201462","wikidata":"https://www.wikidata.org/wiki/Q182505","display_name":"Bayes' theorem","level":3,"score":0.5590000152587891},{"id":"https://openalex.org/C107673813","wikidata":"https://www.wikidata.org/wiki/Q812534","display_name":"Bayesian probability","level":2,"score":0.5504999756813049},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.5407000184059143},{"id":"https://openalex.org/C175309249","wikidata":"https://www.wikidata.org/wiki/Q725864","display_name":"Pipeline transport","level":2,"score":0.5235999822616577},{"id":"https://openalex.org/C191178318","wikidata":"https://www.wikidata.org/wiki/Q2256906","display_name":"Thresholding","level":3,"score":0.4417000114917755},{"id":"https://openalex.org/C519991488","wikidata":"https://www.wikidata.org/wiki/Q28865","display_name":"Python (programming language)","level":2,"score":0.4327999949455261},{"id":"https://openalex.org/C122507166","wikidata":"https://www.wikidata.org/wiki/Q628906","display_name":"Crossover","level":2,"score":0.4228000044822693},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.3741999864578247},{"id":"https://openalex.org/C193244246","wikidata":"https://www.wikidata.org/wiki/Q5432696","display_name":"False discovery rate","level":3,"score":0.35100001096725464},{"id":"https://openalex.org/C126255220","wikidata":"https://www.wikidata.org/wiki/Q141495","display_name":"Mathematical optimization","level":1,"score":0.34150001406669617},{"id":"https://openalex.org/C32230216","wikidata":"https://www.wikidata.org/wiki/Q7882499","display_name":"Uncertainty quantification","level":2,"score":0.3361000120639801},{"id":"https://openalex.org/C4554734","wikidata":"https://www.wikidata.org/wiki/Q593744","display_name":"Knowledge base","level":2,"score":0.31369999051094055},{"id":"https://openalex.org/C57830394","wikidata":"https://www.wikidata.org/wiki/Q278079","display_name":"Posterior probability","level":3,"score":0.2930000126361847},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.2930000126361847},{"id":"https://openalex.org/C12590798","wikidata":"https://www.wikidata.org/wiki/Q3933199","display_name":"Replication (statistics)","level":2,"score":0.28850001096725464},{"id":"https://openalex.org/C177769412","wikidata":"https://www.wikidata.org/wiki/Q278090","display_name":"Prior probability","level":3,"score":0.28619998693466187},{"id":"https://openalex.org/C33724603","wikidata":"https://www.wikidata.org/wiki/Q812540","display_name":"Bayesian network","level":2,"score":0.2721000015735626},{"id":"https://openalex.org/C28901747","wikidata":"https://www.wikidata.org/wiki/Q177571","display_name":"Decision theory","level":2,"score":0.26969999074935913},{"id":"https://openalex.org/C142291917","wikidata":"https://www.wikidata.org/wiki/Q4165283","display_name":"Bayes factor","level":4,"score":0.2639000117778778},{"id":"https://openalex.org/C26713055","wikidata":"https://www.wikidata.org/wiki/Q245962","display_name":"Implementation","level":2,"score":0.26170000433921814},{"id":"https://openalex.org/C160234255","wikidata":"https://www.wikidata.org/wiki/Q812535","display_name":"Bayesian inference","level":3,"score":0.2513999938964844}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1038/s41598-026-80009-y","doi":"https://doi.org/10.1038/s41598-026-80009-y","is_oa":true,"landing_page_url":"https://doi.org/10.1038/s41598-026-80009-y","pdf_url":null,"source":{"id":"https://openalex.org/S196734849","display_name":"Scientific Reports","issn_l":"2045-2322","issn":["2045-2322"],"is_oa":true,"is_in_doaj":true,"is_core":true,"listed_in":["anvur-class-a","anvur-scientific","cwts-core","doaj","dongbi-c","doyens","jufo-1","ki-jl-1","medline","norway-1","poland-140","russia-white-list-1","vabb-shw"],"host_organization":"https://openalex.org/P4310319908","host_organization_name":"Nature Portfolio","host_organization_lineage":["https://openalex.org/P4310319908","https://openalex.org/P4310319965"],"host_organization_lineage_names":["Nature Portfolio","Springer Nature"],"type":"journal"},"license":"cc-by-nc-nd","license_id":"https://openalex.org/licenses/cc-by-nc-nd","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Scientific Reports","raw_type":"journal-article"}],"best_oa_location":{"id":"doi:10.1038/s41598-026-80009-y","doi":"https://doi.org/10.1038/s41598-026-80009-y","is_oa":true,"landing_page_url":"https://doi.org/10.1038/s41598-026-80009-y","pdf_url":null,"source":{"id":"https://openalex.org/S196734849","display_name":"Scientific Reports","issn_l":"2045-2322","issn":["2045-2322"],"is_oa":true,"is_in_doaj":true,"is_core":true,"listed_in":["anvur-class-a","anvur-scientific","cwts-core","doaj","dongbi-c","doyens","jufo-1","ki-jl-1","medline","norway-1","poland-140","russia-white-list-1","vabb-shw"],"host_organization":"https://openalex.org/P4310319908","host_organization_name":"Nature Portfolio","host_organization_lineage":["https://openalex.org/P4310319908","https://openalex.org/P4310319965"],"host_organization_lineage_names":["Nature Portfolio","Springer Nature"],"type":"journal"},"license":"cc-by-nc-nd","license_id":"https://openalex.org/licenses/cc-by-nc-nd","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Scientific Reports","raw_type":"journal-article"},"sustainable_development_goals":[],"study_designs":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":0,"referenced_works":[],"related_works":[],"abstract_inverted_index":{"Small-sample":[0],"experiments":[1],"(n":[2],"=":[3],"3\u201310)":[4],"dominate":[5],"preclinical":[6],"and":[7,23,50,81,92,118,122,132],"pilot":[8],"research,":[9],"yet,":[10],"to":[11],"our":[12],"knowledge,":[13],"no":[14,123],"closed-form":[15,78],"decision-theoretic":[16,139],"framework":[17,34],"links":[18],"experimental":[19],"costs,":[20],"base":[21,116],"rates":[22,117],"error":[24],"control":[25],"for":[26,35,112],"small-sample":[27],"screening":[28,40],"pipelines.":[29],"We":[30],"present":[31],"a":[32,57,62,72,77,82],"cost-calibrated":[33],"pipelines":[36],"in":[37,125],"which":[38,102],"initial":[39],"precedes":[41],"downstream":[42],"confirmation,":[43],"unifying":[44],"frequentist":[45],"testing,":[46],"Bayesian":[47],"posterior":[48],"thresholding":[49],"Bayes-factor":[51],"analysis":[52],"as":[53],"special":[54],"cases":[55],"of":[56,94,101],"single":[58],"cost-parameterised":[59],"family.":[60],"Under":[61],"conjugate":[63],"normal":[64],"model":[65],"we":[66],"derive":[67],"an":[68],"analytic":[69],"false-positive":[70],"bound,":[71],"Bayes":[73],"risk":[74],"decomposition":[75],"with":[76,86],"crossover":[79],"condition,":[80],"pipeline":[83],"optimality":[84],"theorem":[85],"controlled":[87],"false":[88],"discovery":[89],"rates.":[90],"Simulations":[91],"analyses":[93],"248":[95],"effects":[96],"from":[97],"four":[98],"domains,":[99],"three":[100],"provide":[103],"replication":[104],"or":[105,127],"independent-confirmation":[106],"data,":[107],"show":[108],"improved":[109],"expected":[110],"utility":[111],"moderate-to-large":[113],"effects,":[114],"moderate-to-high":[115],"available":[119],"confirmatory":[120],"follow-up,":[121],"benefit":[124],"low-base-rate":[126],"single-stage":[128],"settings.":[129],"Open-source":[130],"R":[131],"Python":[133],"implementations":[134],"enable":[135],"direct":[136],"use":[137],"without":[138],"expertise.":[140]},"counts_by_year":[],"updated_date":"2026-11-12T12:28:57.059296","created_date":"2026-11-12T00:00:00"}