{"public_id":"cl_92df3a3dff056787fd31436bb651df25","status":"active","superseded_by_public_id":null,"corpus_id":234097333,"text":"The final machine learning classification model can make poverty identification cheaper and closer to real-time.","confidence":0.93,"paper":{"corpus_id":234097333,"title":"Poverty Classification Using Machine Learning: The Case of Jordan","url":"https://sah.borca.ai/papers/234097333"},"contributors":[{"id":1,"public_id":"12632b8b5f","public_label":"Anonymous (12632b8b5f)","roles":["extraction"],"url":"https://sah.borca.ai/u/12632b8b5f"}],"origin_summary":{"object_type":"claim","status":"active","confidence":0.93,"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","claim.status","claim.confidence"],"limits":["ledger provenance is aggregated; raw contribution and verifier audit rows are not expanded","entity matching uses settlement bridge refs and edge commands"]},"concepts":[{"public_id":"co_25d744e5264cc478fff7efa3f3bf34e2","name":"machine learning classification model","description":"A trained model that predicts poverty-related class labels from survey features.","types":["model"],"url":"https://sah.borca.ai/concepts/co_25d744e5264cc478fff7efa3f3bf34e2"},{"public_id":"co_99ce9678e3e4e42faff878583ea86705","name":"poverty identification","description":"The process of determining whether a household is poor or non-poor.","types":["task"],"url":"https://sah.borca.ai/concepts/co_99ce9678e3e4e42faff878583ea86705"},{"public_id":"co_ce12e7506a240680de695738aa8b819b","name":"real-time monitoring","description":"Near-immediate updating or assessment of poverty status over time.","types":["monitoring approach"],"url":"https://sah.borca.ai/concepts/co_ce12e7506a240680de695738aa8b819b"}],"related_claims":[],"url":"https://sah.borca.ai/claims/cl_92df3a3dff056787fd31436bb651df25"}