[ { "@id": "https://w3id.org/np/RAn4ChpN8nXUYA_z1gDSMA_pN95nm5CmmKksIpOLM3L74/pubinfo", "@graph": [ { "@id": "https://orcid.org/0000-0002-1784-2920", "http://xmlns.com/foaf/0.1/name": [ { "@value": "Anne Fouilloux" } ] }, { "@id": "https://w3id.org/np/RAn4ChpN8nXUYA_z1gDSMA_pN95nm5CmmKksIpOLM3L74", "http://purl.org/dc/terms/created": [ { "@value": "2026-05-07T21:09:34.069Z", "@type": "http://www.w3.org/2001/XMLSchema#dateTime" } ], "http://purl.org/dc/terms/creator": [ { "@id": "https://orcid.org/0000-0002-1784-2920" } ], "http://purl.org/dc/terms/license": [ { "@id": "https://creativecommons.org/licenses/by/4.0/" } ], "http://purl.org/nanopub/x/introduces": [ { "@id": "https://w3id.org/np/RAn4ChpN8nXUYA_z1gDSMA_pN95nm5CmmKksIpOLM3L74/spherical-ml-cross-discipline-transfer-2026" } ], "http://purl.org/nanopub/x/wasCreatedAt": [ { "@id": "https://nanodash.knowledgepixels.com/" } ], "https://w3id.org/np/o/ntemplate/wasCreatedFromProvenanceTemplate": [ { "@id": "https://w3id.org/np/RA7lSq6MuK_TIC6JMSHvLtee3lpLoZDOqLJCLXevnrPoU" } ], "https://w3id.org/np/o/ntemplate/wasCreatedFromPubinfoTemplate": [ { "@id": "https://w3id.org/np/RACJ58Gvyn91LqCKIO9zu1eijDQIeEff28iyDrJgjSJF8" }, { "@id": "https://w3id.org/np/RAukAcWHRDlkqxk7H2XNSegc1WnHI569INvNr-xdptDGI" } ], "https://w3id.org/np/o/ntemplate/wasCreatedFromTemplate": [ { "@id": "https://w3id.org/np/RA5e5XeXy_-aNK5giB7kBAEQslTLVydHeM4YYEzhmEE2w" } ] }, { "@id": "https://w3id.org/np/RAn4ChpN8nXUYA_z1gDSMA_pN95nm5CmmKksIpOLM3L74/sig", "http://purl.org/nanopub/x/hasAlgorithm": [ { "@value": "RSA" } ], "http://purl.org/nanopub/x/hasPublicKey": [ { "@value": "MIGfMA0GCSqGSIb3DQEBAQUAA4GNADCBiQKBgQDWv2pJnmDsBOq8OlT1aSvYXSuWT34WOp4FYqEzdnn2F0kqzcFevBqWGZDxJWC0lqCrDEuNfp2QFyPe/+nES9dlHGYIhqPi68fwK6ZiNUotRFxXou+rjFznVvUxtCL8Ede79EBHwWN61QtwSIcU12bLoZsNPFlqQASQ93BJuKlihwIDAQAB" } ], "http://purl.org/nanopub/x/hasSignature": [ { "@value": "gbTYw+4diAm0p3FXbRcY8KYf1yMaxdE2C6YrpKM7Jh3hJZrGhXLaX0Fo7uVqNn7FVLj5TSwlnet1oYaXeuTVEe+AxACg67Cf64ZyC262OXScPD/M2vQvRcI1ZLHCS5XxqMt+jElQHehc09ZeIprrGYwBUlhQ7kyCIY0r9S8eXkU=" } ], "http://purl.org/nanopub/x/hasSignatureTarget": [ { "@id": "https://w3id.org/np/RAn4ChpN8nXUYA_z1gDSMA_pN95nm5CmmKksIpOLM3L74" } ], "http://purl.org/nanopub/x/signedBy": [ { "@id": "https://orcid.org/0000-0002-1784-2920" } ] } ] }, { "@id": "https://w3id.org/np/RAn4ChpN8nXUYA_z1gDSMA_pN95nm5CmmKksIpOLM3L74/assertion", "@graph": [ { "@id": "https://w3id.org/np/RAn4ChpN8nXUYA_z1gDSMA_pN95nm5CmmKksIpOLM3L74/comparatorGroup", "http://purl.org/dc/terms/description": [ { "@value": "Lat-lon-flat machine learning trained identically on the first discipline's data and applied to the second discipline's data via the equirectangular projection, exploiting only translation equivariance in pixel space." } ] }, { "@id": "https://w3id.org/np/RAn4ChpN8nXUYA_z1gDSMA_pN95nm5CmmKksIpOLM3L74/interventionGroup", "http://purl.org/dc/terms/description": [ { "@value": "Sphere-aware machine learning trained on one discipline's data and applied to another discipline's data on the shared HEALPix substrate without retraining, exploiting rotation equivariance on the sphere." } ] }, { "@id": "https://w3id.org/np/RAn4ChpN8nXUYA_z1gDSMA_pN95nm5CmmKksIpOLM3L74/outcomeGroup", "http://purl.org/dc/terms/description": [ { "@value": "Detection accuracy on the second discipline's test set without retraining (cross-domain transfer accuracy), with in-domain accuracy on each discipline as sanity check and upper bound." } ] }, { "@id": "https://w3id.org/np/RAn4ChpN8nXUYA_z1gDSMA_pN95nm5CmmKksIpOLM3L74/population", "http://purl.org/dc/terms/description": [ { "@value": "Pairs of scientific disciplines whose data live on the sphere — for example cosmology / astrophysics, climate, Earth observation, marine biodiversity — with shared HEALPix substrate but discipline-specific background spectra and feature-location distributions." } ] }, { "@id": "https://w3id.org/np/RAn4ChpN8nXUYA_z1gDSMA_pN95nm5CmmKksIpOLM3L74/spherical-ml-cross-discipline-transfer-2026", "http://data.cochrane.org/ontologies/pico/comparatorGroup": [ { "@id": "https://w3id.org/np/RAn4ChpN8nXUYA_z1gDSMA_pN95nm5CmmKksIpOLM3L74/comparatorGroup" } ], "http://data.cochrane.org/ontologies/pico/interventionGroup": [ { "@id": "https://w3id.org/np/RAn4ChpN8nXUYA_z1gDSMA_pN95nm5CmmKksIpOLM3L74/interventionGroup" } ], "http://data.cochrane.org/ontologies/pico/outcomeGroup": [ { "@id": "https://w3id.org/np/RAn4ChpN8nXUYA_z1gDSMA_pN95nm5CmmKksIpOLM3L74/outcomeGroup" } ], "http://data.cochrane.org/ontologies/pico/population": [ { "@id": "https://w3id.org/np/RAn4ChpN8nXUYA_z1gDSMA_pN95nm5CmmKksIpOLM3L74/population" } ], "http://purl.org/dc/terms/description": [ { "@value": "For two scientific discipline regimes that share the HEALPix substrate but differ in their background statistics and feature-location distributions, does a sphere-aware machine-learning approach trained on one discipline classify the other discipline without retraining at higher accuracy than an equivalent lat-lon-flat machine-learning approach trained identically, measured by cross-domain transfer accuracy?" } ], "@type": [ "http://data.cochrane.org/ontologies/pico/PICO", "https://w3id.org/sciencelive/o/terms/EffectivenessResearchQuestions" ], "http://www.w3.org/2000/01/rdf-schema#label": [ { "@value": "Does sphere-aware ML on HEALPix transfer cleanly across discipline pairs without retraining?" } ] } ] }, { "@id": "https://w3id.org/np/RAn4ChpN8nXUYA_z1gDSMA_pN95nm5CmmKksIpOLM3L74/provenance", "@graph": [ { "@id": "https://w3id.org/np/RAn4ChpN8nXUYA_z1gDSMA_pN95nm5CmmKksIpOLM3L74/assertion", "http://www.w3.org/ns/prov#wasAttributedTo": [ { "@id": "https://orcid.org/0000-0002-1784-2920" } ] } ] }, { "@id": "https://w3id.org/np/RAn4ChpN8nXUYA_z1gDSMA_pN95nm5CmmKksIpOLM3L74/Head", "@graph": [ { "@id": "https://w3id.org/np/RAn4ChpN8nXUYA_z1gDSMA_pN95nm5CmmKksIpOLM3L74", "http://www.nanopub.org/nschema#hasAssertion": [ { "@id": "https://w3id.org/np/RAn4ChpN8nXUYA_z1gDSMA_pN95nm5CmmKksIpOLM3L74/assertion" } ], "http://www.nanopub.org/nschema#hasProvenance": [ { "@id": "https://w3id.org/np/RAn4ChpN8nXUYA_z1gDSMA_pN95nm5CmmKksIpOLM3L74/provenance" } ], "http://www.nanopub.org/nschema#hasPublicationInfo": [ { "@id": "https://w3id.org/np/RAn4ChpN8nXUYA_z1gDSMA_pN95nm5CmmKksIpOLM3L74/pubinfo" } ], "@type": [ "http://www.nanopub.org/nschema#Nanopublication" ] } ] } ]