{"id":"W6989987405","doi":"","title":"Counting and multidimensional poverty","year":2007,"lang":"en","type":"report","venue":"Oxford University Research Archive (ORA) (University of Oxford)","topic":"","field":"","cited_by":43,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Bundesministerium für Wirtschaftliche Zusammenarbeit und Entwicklung; Australian Agency for International Development; Georg-August-Universität Göttingen; University of Oxford; International Development Research Centre; Economic and Social Research Council; International Fine Particle Research Institute; United Nations Development Programme; Robertson Foundation; UNICEF","keywords":"Poverty; Field (mathematics); Measuring poverty; Government (linguistics); Population","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","sts","research_integrity","insufficient_payload"],"consensus_categories":["sts"],"category_scores_codex":[0.007432036,0.001013345,0.001763069,0.005795769,0.002884937,0.00008284261,0.002565619,0.00106014,0.001113297],"category_scores_gemma":[0.0009976499,0.001364014,0.0008051849,0.002659874,0.004614959,0.001283814,0.006143684,0.004395023,0.0001612771],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002954124,"about_ca_system_score_gemma":0.00538992,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01229543,"about_ca_topic_score_gemma":0.009636685,"domain_scores_codex":[0.9869047,0.001256505,0.0005631901,0.002222216,0.006469412,0.002583995],"domain_scores_gemma":[0.9891579,0.00220767,0.001092331,0.001565657,0.004573049,0.001403412],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.01442692,0.002390829,0.1284842,0.004243788,0.004752817,0.0152526,0.00702943,0.0001580695,0.008930524,0.01662201,0.7587215,0.03898729],"study_design_scores_gemma":[0.003171313,0.0005553588,0.03288068,0.0008364016,0.0003528832,0.0001927465,0.01161412,0.001257742,0.00005034173,0.0005093006,0.9473849,0.001194188],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.2012511,0.0007829631,0.005146915,0.0006564965,0.0005710247,0.002886783,0.01049412,0.0005585396,0.7776521],"genre_scores_gemma":[0.3636404,0.09911879,0.1422305,0.0002569876,0.001919521,0.000001934841,0.0141611,0.001936763,0.3767341],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.400918,"threshold_uncertainty_score":0.9997998,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05003615077198576,"score_gpt":0.2961331958582594,"score_spread":0.2460970450862737,"validation_status":"score_only:v0-immature-baseline","note":"Baseline scores from an immature model (maturity gate not passed). Scores rank; they never assert a category."}}