{"id":"W1519257489","doi":"","title":"Poverty and \"Poverty Pimps\"","year":2012,"lang":"en","type":"article","venue":"Divergent/Convergent","topic":"Income, Poverty, and Inequality","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Victoria","funders":"","keywords":"Poverty; Geography; Economic growth; Economics","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.001320907,0.0002820011,0.0003311431,0.00008408455,0.0009272702,0.0000811978,0.0003597792,0.0002021097,0.006959436],"category_scores_gemma":[0.0002851393,0.0002515425,0.0001927688,0.0002821826,0.0002218003,0.0008113937,0.0002761098,0.0002032594,0.0008448117],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002904469,"about_ca_system_score_gemma":0.0001230727,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004809311,"about_ca_topic_score_gemma":0.0003853479,"domain_scores_codex":[0.9969459,0.0003640743,0.0004121133,0.0003926282,0.0008064838,0.001078778],"domain_scores_gemma":[0.9984555,0.00009824806,0.0001579711,0.0003722685,0.0001338875,0.0007820949],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00004654327,0.0003609342,0.7737497,0.00004574084,0.00009873094,0.000004379371,0.01380369,6.613854e-7,0.0003846179,0.05425257,0.154722,0.00253048],"study_design_scores_gemma":[0.0005006223,0.00005010286,0.1705187,0.00001255019,0.00005456973,0.000001761022,0.002226162,0.00002975125,0.0007071616,0.0009216469,0.8245173,0.00045971],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8308286,0.004252243,0.0004624477,0.004052786,0.01604014,0.0009503761,0.000186711,0.0004262184,0.1428005],"genre_scores_gemma":[0.9839098,0.001721716,0.000108779,0.005623918,0.0009941476,0.00002100718,0.0000261925,0.00002553635,0.007568839],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.6697953,"threshold_uncertainty_score":0.9999937,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04241216657912843,"score_gpt":0.3056409512068744,"score_spread":0.263228784627746,"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."}}