{"record_type":"pith_number_record","schema_url":"https://pith.science/schemas/pith-number/v1.json","pith_number":"pith:2017:SGVTJMAHFE57IM3K3OO2FCH3AU","short_pith_number":"pith:SGVTJMAH","schema_version":"1.0","canonical_sha256":"91ab34b007293bf4336adb9da288fb053f9dfaadc34ce123682a3e6b899c7496","source":{"kind":"arxiv","id":"1702.08222","version":1},"attestation_state":"computed","paper":{"title":"Synergistic Team Composition","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":[],"primary_cat":"cs.AI","authors_text":"Carles Sierra, Carme Roig, Ewa Andrejczuk, Juan A. Rodriguez-Aguilar","submitted_at":"2017-02-27T10:36:36Z","abstract_excerpt":"Effective teams are crucial for organisations, especially in environments that require teams to be constantly created and dismantled, such as software development, scientific experiments, crowd-sourcing, or the classroom. Key factors influencing team performance are competences and personality of team members. Hence, we present a computational model to compose proficient and congenial teams based on individuals' personalities and their competences to perform tasks of different nature. With this purpose, we extend Wilde's post-Jungian method for team composition, which solely employs individual"},"verification_status":{"content_addressed":true,"pith_receipt":true,"author_attested":false,"weak_author_claims":0,"strong_author_claims":0,"externally_anchored":false,"storage_verified":false,"citation_signatures":0,"replication_records":0,"graph_snapshot":true,"references_resolved":false,"formal_links_present":false},"canonical_record":{"source":{"id":"1702.08222","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.AI","submitted_at":"2017-02-27T10:36:36Z","cross_cats_sorted":[],"title_canon_sha256":"d1883aaddcfbac98cebec369671327893167fccc8c7ecea60337302974223be7","abstract_canon_sha256":"2bbc4e8af92c3200e5e9387cd2f9c7ba65142fb2d89b366dd335504c24cd68d4"},"schema_version":"1.0"},"receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-05-18T00:49:55.553016Z","signature_b64":"SFgOnx/BGJWdTTkV5PyvLTJCgOx5s5ZCJ3UG4Hg7BA3EU5FGi5HrpkrOKB5fnXyHGcfhJOq6k/L7q+n98LLHDg==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"91ab34b007293bf4336adb9da288fb053f9dfaadc34ce123682a3e6b899c7496","last_reissued_at":"2026-05-18T00:49:55.552271Z","signature_status":"signed_v1","first_computed_at":"2026-05-18T00:49:55.552271Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"graph_snapshot":{"paper":{"title":"Synergistic Team Composition","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":[],"primary_cat":"cs.AI","authors_text":"Carles Sierra, Carme Roig, Ewa Andrejczuk, Juan A. Rodriguez-Aguilar","submitted_at":"2017-02-27T10:36:36Z","abstract_excerpt":"Effective teams are crucial for organisations, especially in environments that require teams to be constantly created and dismantled, such as software development, scientific experiments, crowd-sourcing, or the classroom. Key factors influencing team performance are competences and personality of team members. Hence, we present a computational model to compose proficient and congenial teams based on individuals' personalities and their competences to perform tasks of different nature. With this purpose, we extend Wilde's post-Jungian method for team composition, which solely employs individual"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1702.08222","kind":"arxiv","version":1},"verdict":{"id":null,"model_set":{},"created_at":null,"strongest_claim":"","one_line_summary":"","pipeline_version":null,"weakest_assumption":"","pith_extraction_headline":""},"references":{"count":0,"sample":[],"resolved_work":0,"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57","internal_anchors":0},"formal_canon":{"evidence_count":0,"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"author_claims":{"count":0,"strong_count":0,"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"builder_version":"pith-number-builder-2026-05-17-v1"},"aliases":[{"alias_kind":"arxiv","alias_value":"1702.08222","created_at":"2026-05-18T00:49:55.552412+00:00"},{"alias_kind":"arxiv_version","alias_value":"1702.08222v1","created_at":"2026-05-18T00:49:55.552412+00:00"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1702.08222","created_at":"2026-05-18T00:49:55.552412+00:00"},{"alias_kind":"pith_short_12","alias_value":"SGVTJMAHFE57","created_at":"2026-05-18T12:31:43.269735+00:00"},{"alias_kind":"pith_short_16","alias_value":"SGVTJMAHFE57IM3K","created_at":"2026-05-18T12:31:43.269735+00:00"},{"alias_kind":"pith_short_8","alias_value":"SGVTJMAH","created_at":"2026-05-18T12:31:43.269735+00:00"}],"events":[],"event_summary":{},"paper_claims":[],"inbound_citations":{"count":0,"internal_anchor_count":0,"sample":[]},"formal_canon":{"evidence_count":0,"sample":[],"anchors":[]},"links":{"html":"https://pith.science/pith/SGVTJMAHFE57IM3K3OO2FCH3AU","json":"https://pith.science/pith/SGVTJMAHFE57IM3K3OO2FCH3AU.json","graph_json":"https://pith.science/api/pith-number/SGVTJMAHFE57IM3K3OO2FCH3AU/graph.json","events_json":"https://pith.science/api/pith-number/SGVTJMAHFE57IM3K3OO2FCH3AU/events.json","paper":"https://pith.science/paper/SGVTJMAH"},"agent_actions":{"view_html":"https://pith.science/pith/SGVTJMAHFE57IM3K3OO2FCH3AU","download_json":"https://pith.science/pith/SGVTJMAHFE57IM3K3OO2FCH3AU.json","view_paper":"https://pith.science/paper/SGVTJMAH","resolve_alias":"https://pith.science/api/pith-number/resolve?arxiv=1702.08222&json=true","fetch_graph":"https://pith.science/api/pith-number/SGVTJMAHFE57IM3K3OO2FCH3AU/graph.json","fetch_events":"https://pith.science/api/pith-number/SGVTJMAHFE57IM3K3OO2FCH3AU/events.json","actions":{"anchor_timestamp":"https://pith.science/pith/SGVTJMAHFE57IM3K3OO2FCH3AU/action/timestamp_anchor","attest_storage":"https://pith.science/pith/SGVTJMAHFE57IM3K3OO2FCH3AU/action/storage_attestation","attest_author":"https://pith.science/pith/SGVTJMAHFE57IM3K3OO2FCH3AU/action/author_attestation","sign_citation":"https://pith.science/pith/SGVTJMAHFE57IM3K3OO2FCH3AU/action/citation_signature","submit_replication":"https://pith.science/pith/SGVTJMAHFE57IM3K3OO2FCH3AU/action/replication_record"}},"created_at":"2026-05-18T00:49:55.552412+00:00","updated_at":"2026-05-18T00:49:55.552412+00:00"}