{"id":"W3125302739","doi":"","title":"The ins and outs of poverty in advanced economies: poverty dynamics in Canada, Germany, Great Britain, and the United States","year":2004,"lang":"en","type":"preprint","venue":"RePEc: Research Papers in Economics","topic":"Income, Poverty, and Inequality","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Poverty; Chronic poverty; Development economics; Yield (engineering); Economics; Incidence (geometry); Culture of poverty; Demographic economics; Basic needs; Economic growth; Poverty reduction","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005463455,0.0001706779,0.0003737354,0.003560751,0.002852997,0.002039264,0.0004813424,0.0004449344,0.0009938779],"category_scores_gemma":[0.001444507,0.0001321208,0.0002643006,0.006851648,0.001574993,0.0008829849,0.001670427,0.0005222199,0.00006895395],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.02117404,"about_ca_system_score_gemma":0.01588094,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9837663,"about_ca_topic_score_gemma":0.9904365,"domain_scores_codex":[0.9994062,0.00003919781,0.00001389545,0.00003438684,0.0001251938,0.0003810505],"domain_scores_gemma":[0.9988267,0.00008673023,0.0001589429,0.0000294093,0.0005144012,0.0003838307],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0003864241,0.00009630155,0.9277673,0.00008125281,0.0001497679,0.0005372801,0.01467274,0.003747896,0.0005812899,0.007915678,0.00428394,0.03978008],"study_design_scores_gemma":[0.000004158231,0.00001069712,0.9901291,0.00002432509,0.00001396382,0.00003647361,0.006646771,0.0006212306,0.00009848776,0.0002508472,0.002148943,0.00001505412],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9966718,0.0005330095,0.00003072652,0.0003842453,0.000002515393,0.000005301859,0.0005085951,0.000002658265,0.001861179],"genre_scores_gemma":[0.9983936,0.0005999311,0.00004743863,0.0000288756,0.00000155942,0.000003169624,0.0004033907,0.000001639735,0.0005203632],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02117404,"threshold_uncertainty_score":0.1536291,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01933719373512367,"score_gpt":0.303224610622713,"score_spread":0.2838874168875893,"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."}}