{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002224513,0.00007862338,0.0001847005,0.0001260429,0.0003636809,0.0002411376,0.0004271632,0.0001536422,0.000210244],"category_scores_gemma":[0.0004941769,0.00005987054,0.00009817963,0.0001307772,0.00007884394,0.000320621,0.00005932225,0.0002515916,0.00001095263],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006414229,"about_ca_system_score_gemma":0.0001454941,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000359571,"about_ca_topic_score_gemma":0.0002770333,"domain_scores_codex":[0.9979311,0.0003137547,0.0004267822,0.00009160911,0.001029669,0.0002071374],"domain_scores_gemma":[0.9987741,0.0001837406,0.000631517,0.00004025115,0.0003107896,0.00005967212],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00009429931,0.0000229772,0.9329115,0.000003570577,0.0001218204,0.000004101677,0.015591,4.655662e-7,0.00001705486,0.04611738,0.0007922417,0.004323602],"study_design_scores_gemma":[0.0005608,0.00002683015,0.8449659,0.00001270201,0.00001373099,5.816031e-7,0.006450317,8.767589e-7,0.00003148307,0.001965265,0.1458893,0.0000821702],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9658504,0.00002015847,0.000003017384,0.02016016,0.002345526,0.00009158764,0.00007866853,0.000007831194,0.01144264],"genre_scores_gemma":[0.9974272,0.00003340386,0.000009798773,0.0002641202,0.001786771,0.000001157154,0.000007246662,0.000006922216,0.0004633799],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.145097,"threshold_uncertainty_score":0.2797176,"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."}}