{"id":"W2995371544","doi":"10.26577/be-2019-3-e18","title":"DO THE CHRONICALLY POOR HAVE MORE INTERRUPTED SPELLS OF POVERTY IN TRANSITION ECONOMIES? EVIDENCE FROM KAZAKHSTAN","year":2019,"lang":"en","type":"article","venue":"The Journal of Economic Research & Business Administration","topic":"Income, Poverty, and Inequality","field":"Social Sciences","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Poverty; Chronic poverty; Panel data; Quarter (Canadian coin); Spell; Economics; Development economics; Population; Psychological intervention; Demographic economics; Economic growth; Geography; Poverty reduction; Demography; Medicine; Econometrics; Sociology","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":"codex-gemma-dda1882f352a","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.01005316,0.0001112028,0.0003202526,0.000139353,0.0001642047,0.0001811266,0.000838553,0.0001109647,0.00134423],"category_scores_gemma":[0.0007871837,0.00007094603,0.0001033932,0.0001952422,0.000509672,0.001150754,0.00005021384,0.0004734249,0.00008619448],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007413609,"about_ca_system_score_gemma":0.001996393,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.007956762,"about_ca_topic_score_gemma":0.01572893,"domain_scores_codex":[0.9969214,0.001235981,0.0009251393,0.000163996,0.00044886,0.000304651],"domain_scores_gemma":[0.9966269,0.001864794,0.0005960962,0.0003317789,0.0005032349,0.00007716518],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"observational","study_design_scores_codex":[0.05289504,0.003498737,0.2271945,0.001145051,0.001425683,0.0001160856,0.4190437,0.03961903,0.07355639,0.1141944,0.03758598,0.02972542],"study_design_scores_gemma":[0.006027797,0.002834757,0.7261059,0.002993436,0.0001692173,0.00004975051,0.1419399,0.01577913,0.01477015,0.07970169,0.008635691,0.0009925487],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9727176,0.0002171558,0.0001073936,0.02088204,0.000348172,0.0004309899,0.00002047608,0.000002563015,0.005273628],"genre_scores_gemma":[0.9978572,0.001221464,0.000033656,0.00015857,0.000456742,0.000001601547,0.000003516237,0.00000888653,0.000258414],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4989114,"threshold_uncertainty_score":0.9995687,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1301733121863257,"score_gpt":0.4251165311186839,"score_spread":0.2949432189323583,"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."}}