<HashMap><database>biostudies-literature</database><scores/><additional><omics_type>Unknown</omics_type><volume>24(1)</volume><submitter>Chiavenna C</submitter><funding>European Research Council</funding><funding>PRIN project</funding><funding>ERC Grant "IMMUNE"</funding><funding>PNRR Grant BEHAVE-MOD</funding><journal>Population health metrics</journal><pagination>8</pagination><full_dataset_link>https://www.ebi.ac.uk/biostudies/studies/S-EPMC12857026</full_dataset_link><repository>biostudies-literature</repository><pubmed_title>Beyond binary: a machine-learning classification of childhood COVID-19 vaccination intentions using behavioural data.</pubmed_title><pmcid>PMC12857026</pmcid><funding_grant_id>2017ELHNNJ</funding_grant_id><funding_grant_id>ID: SA-02. P0001</funding_grant_id><funding_grant_id>ID: 101003183</funding_grant_id><funding_grant_id>101003183</funding_grant_id><pubmed_authors>Leone LP</pubmed_authors><pubmed_authors>Melegaro A</pubmed_authors><pubmed_authors>Chiavenna C</pubmed_authors><pubmed_authors>Cucciniello M</pubmed_authors><pubmed_authors>Pin P</pubmed_authors></additional><is_claimable>false</is_claimable><name>Beyond binary: a machine-learning classification of childhood COVID-19 vaccination intentions using behavioural data.</name><description/><dates><release>2025-01-01T00:00:00Z</release><publication>2025 Dec</publication><modification>2026-06-13T06:22:52.899Z</modification><creation>2026-06-13T03:12:08.726Z</creation></dates><accession>S-EPMC12857026</accession><cross_references><pubmed>41444900</pubmed><doi>10.1186/s12963-025-00437-2</doi></cross_references></HashMap>