{"id":"W7098216775","doi":"","title":"The Ins and Outs of Poverty in Advanced Economies: Government Policy and Poverty Dynamics in","year":2006,"lang":"en","type":"article","venue":"","topic":"Biomedical Text Mining and Ontologies","field":"Biochemistry, Genetics and Molecular Biology","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Poverty; Chronic poverty; Government (linguistics); Public policy; Culture of poverty; Basic needs","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":[0.00142499,0.00007653893,0.0002644644,0.002096301,0.001132819,0.002089846,0.000227209,0.0004470333,0.001492277],"category_scores_gemma":[0.004416879,0.00008472568,0.0001858515,0.003583519,0.002569591,0.00378485,0.001901319,0.0006202772,0.00006718893],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003366314,"about_ca_system_score_gemma":0.002668529,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02564103,"about_ca_topic_score_gemma":0.03759344,"domain_scores_codex":[0.9993932,0.0002175896,0.00003190038,0.000049777,0.00009822909,0.0002091246],"domain_scores_gemma":[0.9978727,0.0007478008,0.0005836801,0.0001222907,0.0003676733,0.0003057846],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0007830823,0.0003663271,0.6840926,0.0001610041,0.0002469008,0.0005441501,0.02589501,0.01251802,0.00140148,0.1645435,0.003122577,0.1063253],"study_design_scores_gemma":[0.00001414016,0.00009857074,0.9192801,0.0001048938,0.00003086935,0.0001017439,0.02536221,0.003053385,0.0004270527,0.04169922,0.009799585,0.00002821757],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9903447,0.000404993,0.0003691738,0.002172724,0.000004392555,0.000005207093,0.00015431,0.000005533932,0.006539002],"genre_scores_gemma":[0.9995574,0.0001749442,0.00006600422,0.00002877599,0.000001908996,0.000002767929,0.00003117724,0.000001307018,0.000135634],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02564103,"threshold_uncertainty_score":0.05098355,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.003831441693398207,"score_gpt":0.2294245938843939,"score_spread":0.2255931521909957,"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."}}