{"public_id":"co_d0493146db2358bfe16ff8e68048eee7","status":"active","merged_into_public_id":null,"resolved_public_id":"co_d0493146db2358bfe16ff8e68048eee7","name":"household expenditure and income surveys","description":"Survey datasets containing household spending and income information used to identify poverty status.","aliases":[],"types":["dataset","survey"],"contributors":[{"id":1,"public_id":"12632b8b5f","public_label":"Anonymous (12632b8b5f)","roles":["extraction"],"url":"https://sah.borca.ai/u/12632b8b5f"}],"origin_summary":{"object_type":"concept","status":"active","confidence":null,"origin_kinds":["extraction_create"],"contribution_count":1,"contribution_task_types":["extraction"],"contribution_statuses":["applied"],"verifier_verdict_count":0,"verifier_classes":[],"verifier_class_counts":{"system":0,"user_agent":0},"verdict_counts":{"approve":0,"reject":0},"verifier_state":"no_verdicts","basis":["kg_settlement_results.decision_payload.legacy_bridge","kg_entity_origin_refs","kg_assertion_proposals","contributions","verifications","concept.status"],"limits":["ledger provenance is aggregated; raw contribution and verifier audit rows are not expanded","entity matching uses settlement bridge refs and edge commands"]},"papers":[{"corpus_id":234097333,"title":"Poverty Classification Using Machine Learning: The Case of Jordan","citation_count":61,"url":"https://sah.borca.ai/papers/234097333"}],"claims":[{"public_id":"cl_230e001ae36b1d9eeb268f2fc101c5a9","text":"An original machine learning approach is proposed to assess and monitor the poverty status of Jordanian households using household expenditure and income surveys since the early beginning of the new millennium.","corpus_id":234097333,"url":"https://sah.borca.ai/claims/cl_230e001ae36b1d9eeb268f2fc101c5a9"}],"related_concepts":[],"resolved_url":"https://sah.borca.ai/concepts/co_d0493146db2358bfe16ff8e68048eee7","url":"https://sah.borca.ai/concepts/co_d0493146db2358bfe16ff8e68048eee7"}