{"id":"W2982407710","doi":"10.1111/ijsw.12407","title":"The association between poverty indicators and material hardship in South Korea","year":2019,"lang":"en","type":"article","venue":"International Journal of Social Welfare","topic":"Income, Poverty, and Inequality","field":"Social Sciences","cited_by":5,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University","funders":"","keywords":"Poverty; Asset (computer security); Welfare; Casual; Economics; Demographic economics; Household income; Economic growth; Political science; Geography","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":[0.0005489215,0.0002343715,0.0001763211,0.001125129,0.0003186013,0.00049113,0.0001812473,0.0001606624,0.002197706],"category_scores_gemma":[0.001246173,0.0001687282,0.0003049286,0.001014234,0.0002251352,0.0004445217,0.001243081,0.0004321402,0.000136389],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002860473,"about_ca_system_score_gemma":0.0003447478,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.009497921,"about_ca_topic_score_gemma":0.01517751,"domain_scores_codex":[0.9997504,0.00006899583,0.00003858396,0.00004099228,0.00003533445,0.00006566109],"domain_scores_gemma":[0.998889,0.0001047064,0.0005066177,0.00005162426,0.0001871797,0.0002608511],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00004250836,0.00002316729,0.9969041,0.00002186645,0.00004229506,0.00008784567,0.0003434038,0.00004906865,0.000125166,0.00005386038,0.0002035521,0.00210307],"study_design_scores_gemma":[0.000001346751,0.00002066701,0.9987202,0.00001223044,0.00001004115,0.0000482756,0.0008760732,0.00009214583,0.00002513596,0.00003344163,0.0001571021,0.000003398879],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9993277,0.00006155991,0.00004070496,0.00005999233,0.000002201436,0.000003991793,0.0002657967,0.000001015734,0.0002371779],"genre_scores_gemma":[0.9996075,0.00004960137,0.00003144216,0.00001389703,0.000001245824,0.000005384036,0.0001841925,7.993945e-7,0.0001059681],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.009497921,"threshold_uncertainty_score":0.01888525,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01474322567293917,"score_gpt":0.297801274100504,"score_spread":0.2830580484275648,"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."}}