{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2016:KVZUBP4GIOJGBMZCD3OES3WWNS","merge_version":"pith-open-graph-merge-v1","event_count":2,"valid_event_count":2,"invalid_event_count":0,"equivocation_count":0,"current":{"canonical_record":{"metadata":{"abstract_canon_sha256":"4a1694c0d46039c957852ead939bf20c71e4573a298da0be13362dd7f50b5bcc","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"q-bio.BM","submitted_at":"2016-10-17T16:11:57Z","title_canon_sha256":"9e7245806b31a0872b7e4635ac78fe95dc1edca870aa77c337fc49d699d55e49"},"schema_version":"1.0","source":{"id":"1610.05189","kind":"arxiv","version":2}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"1610.05189","created_at":"2026-05-18T01:01:59Z"},{"alias_kind":"arxiv_version","alias_value":"1610.05189v2","created_at":"2026-05-18T01:01:59Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1610.05189","created_at":"2026-05-18T01:01:59Z"},{"alias_kind":"pith_short_12","alias_value":"KVZUBP4GIOJG","created_at":"2026-05-18T12:30:29Z"},{"alias_kind":"pith_short_16","alias_value":"KVZUBP4GIOJGBMZC","created_at":"2026-05-18T12:30:29Z"},{"alias_kind":"pith_short_8","alias_value":"KVZUBP4G","created_at":"2026-05-18T12:30:29Z"}],"graph_snapshots":[{"event_id":"sha256:77f56e820aeb9b6ade1ca209d5edfd730fbf2ea3c284832c7dd1c1cb44d814ee","target":"graph","created_at":"2026-05-18T01:01:59Z","signer":{"key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signer_id":"pith.science","signer_type":"pith_registry"},"payload":{"graph_snapshot":{"author_claims":{"count":0,"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57","strong_count":0},"builder_version":"pith-number-builder-2026-05-17-v1","claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"formal_canon":{"evidence_count":0,"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"paper":{"abstract_excerpt":"Summary: Protein quality assessment is a long-standing problem in bioinformatics. For more than a decade we have developed state-of-art predictors by carefully selecting and optimising inputs to a machine learning method. The correlation has increased from 0.60 in ProQ to 0.81 in ProQ2 and 0.85 in ProQ3 mainly by adding a large set of carefully tuned descriptions of a protein. Here, we show that a substantial improvement can be obtained using exactly the same inputs as in ProQ2 or ProQ3 but replacing the support vector machine by a deep neural network. This improves the Pearson correlation to ","authors_text":"Arne Elofsson, Bj\\\"orn Wallner, David Men\\'endez Hurtado, Karolis Uziela","cross_cats":[],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"q-bio.BM","submitted_at":"2016-10-17T16:11:57Z","title":"ProQ3D: Improved model quality assessments using Deep Learning"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1610.05189","kind":"arxiv","version":2},"verdict":{"created_at":null,"id":null,"model_set":{},"one_line_summary":"","pipeline_version":null,"pith_extraction_headline":"","strongest_claim":"","weakest_assumption":""}},"verdict_id":null}}],"author_attestations":[],"timestamp_anchors":[],"storage_attestations":[],"citation_signatures":[],"replication_records":[],"corrections":[],"mirror_hints":[],"record_created":{"event_id":"sha256:a2256fb4a2518bff6930f1d53996e2bf7e7900b2a2c3158f6cb31e1cec1ccf4a","target":"record","created_at":"2026-05-18T01:01:59Z","signer":{"key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signer_id":"pith.science","signer_type":"pith_registry"},"payload":{"attestation_state":"computed","canonical_record":{"metadata":{"abstract_canon_sha256":"4a1694c0d46039c957852ead939bf20c71e4573a298da0be13362dd7f50b5bcc","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"q-bio.BM","submitted_at":"2016-10-17T16:11:57Z","title_canon_sha256":"9e7245806b31a0872b7e4635ac78fe95dc1edca870aa77c337fc49d699d55e49"},"schema_version":"1.0","source":{"id":"1610.05189","kind":"arxiv","version":2}},"canonical_sha256":"557340bf86439260b3221edc496ed66c93ca0f47546302508b0f30fdf06da250","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"557340bf86439260b3221edc496ed66c93ca0f47546302508b0f30fdf06da250","first_computed_at":"2026-05-18T01:01:59.652741Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-05-18T01:01:59.652741Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"8GsCkvxNEBZTLgDv1BB96Omh9mriNzmUgIAigMkr0czdQjhZzXchEPPxVy9u6iitYCgYDcLxNG3TbsmV7kBEDw==","signature_status":"signed_v1","signed_at":"2026-05-18T01:01:59.653238Z","signed_message":"canonical_sha256_bytes"},"source_id":"1610.05189","source_kind":"arxiv","source_version":2}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:a2256fb4a2518bff6930f1d53996e2bf7e7900b2a2c3158f6cb31e1cec1ccf4a","sha256:77f56e820aeb9b6ade1ca209d5edfd730fbf2ea3c284832c7dd1c1cb44d814ee"],"state_sha256":"f8acf83a650ac5cab369b729c0a9e6bcf6eb429bc97dab04bc43589d8081c3fc"}