Nanopublication

ID

https://w3id.org/sciencelive/np/RAwXnEfd93PfqsvVkYm4XsZ4CJTjgQ_kF8NfExx_S_Xsk
Formats

Content

@prefix this: <https://w3id.org/sciencelive/np/RAwXnEfd93PfqsvVkYm4XsZ4CJTjgQ_kF8NfExx_S_Xsk> .
@prefix sub: <https://w3id.org/sciencelive/np/RAwXnEfd93PfqsvVkYm4XsZ4CJTjgQ_kF8NfExx_S_Xsk/> .
@prefix np: <http://www.nanopub.org/nschema#> .
@prefix rdf: <http://www.w3.org/1999/02/22-rdf-syntax-ns#> .
@prefix prov: <http://www.w3.org/ns/prov#> .
@prefix npx: <http://purl.org/nanopub/x/> .
@prefix dc: <http://purl.org/dc/terms/> .
@prefix xsd: <http://www.w3.org/2001/XMLSchema#> .

sub:Head {
  this: a np:Nanopublication;
    np:hasAssertion sub:assertion;
    np:hasProvenance sub:provenance;
    np:hasPublicationInfo sub:pubinfo .
}

sub:assertion {
  <https://w3id.org/np/RA5e5XeXy_-aNK5giB7kBAEQslTLVydHeM4YYEzhmEE2w/comparatorGroup>
    dc:description "Lat-lon-flat machine learning — feature extraction and detection that operate on the equirectangular projection of the same fields, exploiting only translation equivariance in pixel space." .
  
  <https://w3id.org/np/RA5e5XeXy_-aNK5giB7kBAEQslTLVydHeM4YYEzhmEE2w/interventionGroup>
    dc:description "Sphere-aware machine learning — feature extraction and detection that operate directly on a HEALPix-NESTED substrate, exploiting rotation equivariance on the sphere. " .
  
  <https://w3id.org/np/RA5e5XeXy_-aNK5giB7kBAEQslTLVydHeM4YYEzhmEE2w/outcomeGroup> dc:description
      "Detection accuracy and F1 score by test latitude band, given a model trained on low-latitude events only." .
  
  <https://w3id.org/np/RA5e5XeXy_-aNK5giB7kBAEQslTLVydHeM4YYEzhmEE2w/population> dc:description
      "Globally-distributed sea-surface-temperature fields on the sphere with marine-heatwave events occurring at any latitude." .
  
  sub:spherical-ml-latitude-invariance-2026 a <http://data.cochrane.org/ontologies/pico/PICO>,
      <https://w3id.org/sciencelive/o/terms/EffectivenessResearchQuestions>;
    <http://data.cochrane.org/ontologies/pico/comparatorGroup> <https://w3id.org/np/RA5e5XeXy_-aNK5giB7kBAEQslTLVydHeM4YYEzhmEE2w/comparatorGroup>;
    <http://data.cochrane.org/ontologies/pico/interventionGroup> <https://w3id.org/np/RA5e5XeXy_-aNK5giB7kBAEQslTLVydHeM4YYEzhmEE2w/interventionGroup>;
    <http://data.cochrane.org/ontologies/pico/outcomeGroup> <https://w3id.org/np/RA5e5XeXy_-aNK5giB7kBAEQslTLVydHeM4YYEzhmEE2w/outcomeGroup>;
    <http://data.cochrane.org/ontologies/pico/population> <https://w3id.org/np/RA5e5XeXy_-aNK5giB7kBAEQslTLVydHeM4YYEzhmEE2w/population>;
    dc:description "For globally-distributed marine-heatwave detection on sea-surface-temperature data (Population), does a sphere-aware machine-learning approach that operates on a HEALPix substrate (Intervention) recover the high-latitude detection accuracy lost by an equivalent lat-lon-flat machine-learning approach (Comparator) when both are trained on low-latitude events and tested at progressively higher latitudes, measured by detection accuracy and F1 score per test latitude band (Outcome)?";
    <http://www.w3.org/2000/01/rdf-schema#label> "Does sphere-aware ML on HEALPix recover detection accuracy at high latitudes that lat-lon flat ML loses?" .
}

sub:provenance {
  sub:assertion prov:wasAttributedTo <https://orcid.org/0000-0002-1784-2920> .
}

sub:pubinfo {
  <https://orcid.org/0000-0002-1784-2920> <http://xmlns.com/foaf/0.1/name> "Anne Fouilloux" .
  
  this: dc:created "2026-05-06T20:06:25.550Z"^^xsd:dateTime;
    dc:creator <https://orcid.org/0000-0002-1784-2920>;
    dc:license <https://creativecommons.org/licenses/by/4.0/>;
    npx:introduces sub:spherical-ml-latitude-invariance-2026;
    npx:wasCreatedAt <https://platform.sciencelive4all.org>;
    <http://www.w3.org/2000/01/rdf-schema#label> "NP created using Defining a PICO-based research question";
    <https://w3id.org/np/o/ntemplate/wasCreatedFromTemplate> <https://w3id.org/np/RA5e5XeXy_-aNK5giB7kBAEQslTLVydHeM4YYEzhmEE2w> .
  
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    npx:signedBy <https://orcid.org/0000-0002-1784-2920> .
}