{"id":"W1537720561","doi":"","title":"An Analysis of Britain and American Poverty and Poverty Alleviation and Development Pattern","year":2015,"lang":"en","type":"article","venue":"Canadian social science","topic":"Income, Poverty, and Inequality","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Poverty; Enlightenment; China; Development economics; Battle; Period (music); Culture of poverty; Basic needs; Government (linguistics); Population; Political science; Economic growth; Economic history; History; Sociology; Economics; Law; Ancient history; Demography","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"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":[0.0004465781,0.00008604076,0.000132014,0.003872121,0.001493956,0.0008475485,0.0001812416,0.0001534074,0.002827209],"category_scores_gemma":[0.001147276,0.00005976111,0.00008435693,0.01053135,0.000566496,0.0004750954,0.0009451332,0.0002680493,0.0001770113],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002172006,"about_ca_system_score_gemma":0.00165453,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.1874821,"about_ca_topic_score_gemma":0.3192815,"domain_scores_codex":[0.9994404,0.0001433695,0.00001894513,0.00004245033,0.0001474922,0.0002073582],"domain_scores_gemma":[0.9993322,0.0001207505,0.00009727617,0.00002873704,0.0003252728,0.00009570815],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0002690299,0.00009607831,0.6580371,0.0001887511,0.00006869571,0.0008082974,0.05612211,0.0003460711,0.001649507,0.05863879,0.01825592,0.2055197],"study_design_scores_gemma":[0.00000254334,0.00001806357,0.9395172,0.00003507499,0.00001013408,0.0001439775,0.01412733,0.000137344,0.0001016261,0.0007539561,0.04514519,0.000007442586],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9430068,0.001723433,0.0002023645,0.001471344,0.00001974852,0.000007456613,0.0005220135,0.00001024074,0.05303654],"genre_scores_gemma":[0.9932804,0.001262932,0.0001923742,0.0001082664,0.00001139702,0.00001054423,0.0003805389,0.000006866809,0.004746832],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1874821,"threshold_uncertainty_score":0.3727817,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03267012403999413,"score_gpt":0.3113744603769922,"score_spread":0.2787043363369981,"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."}}