{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001391498,0.0002618186,0.000216904,0.001512042,0.001174081,0.001716318,0.0003294902,0.0004868117,0.004463059],"category_scores_gemma":[0.005868554,0.0001021961,0.0002069751,0.001588765,0.005986198,0.002457843,0.00444122,0.001378369,0.0001512635],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007269307,"about_ca_system_score_gemma":0.0008047988,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0009270845,"about_ca_topic_score_gemma":0.001371601,"domain_scores_codex":[0.9991504,0.0003947199,0.00003192294,0.00007882873,0.0002210906,0.000123039],"domain_scores_gemma":[0.998165,0.0008160698,0.0003682162,0.0001519566,0.0002552469,0.0002436852],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0000663979,0.00006866257,0.0357686,0.00008889284,0.0000327751,0.0001848138,0.008834761,0.0003827674,0.00026169,0.916265,0.00205824,0.03598734],"study_design_scores_gemma":[0.00001851696,0.00004669618,0.08293844,0.0001636241,0.00004007957,0.0005571003,0.01703477,0.001202447,0.000278944,0.8865733,0.01112539,0.00002069464],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"commentary","genre_scores_codex":[0.7643172,0.002088901,0.007153124,0.01790447,0.0001221607,0.00002782311,0.0002678742,0.00002586587,0.2080926],"genre_scores_gemma":[0.9977226,0.000404066,0.0005238476,0.0002583663,0.00003780187,0.00001352209,0.00002646678,0.000003109299,0.001010257],"genre_candidate":"commentary","genre_consensus":null,"teacher_disagreement_score":0.004463059,"threshold_uncertainty_score":0.01493037,"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."}}