{"id":"W2248462033","doi":"","title":"Inpatient care in Kazakhstan: A comparative analysis.","year":2013,"lang":"en","type":"article","venue":"PubMed","topic":"Healthcare Systems and Reforms","field":"Economics, Econometrics and Finance","cited_by":10,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Medicine; Inpatient care; Health care; China; Stock (firearms); Healthcare system; Economic growth; Geography; Economics","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":[0.001084803,0.0003092687,0.0004003772,0.006505231,0.0006982383,0.0008173201,0.0003394992,0.0002614517,0.003211814],"category_scores_gemma":[0.002356134,0.0001603223,0.0008826316,0.00840433,0.0004548426,0.0005871551,0.0008347871,0.0002341218,0.0002079636],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002879494,"about_ca_system_score_gemma":0.001738753,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.03171619,"about_ca_topic_score_gemma":0.03476227,"domain_scores_codex":[0.9991006,0.0003254441,0.0001417527,0.00009598436,0.0001606366,0.0001756515],"domain_scores_gemma":[0.9982985,0.00055868,0.0006582099,0.00005701644,0.0003028575,0.0001247829],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0005077825,0.0002590198,0.9557823,0.001145007,0.0008437535,0.0005428665,0.001883359,0.0007693084,0.0002109317,0.001844459,0.001282012,0.03492912],"study_design_scores_gemma":[0.00002308639,0.0002593269,0.9924077,0.0001147462,0.0002823196,0.0004377413,0.004159424,0.0003415646,0.00008314109,0.0001564181,0.001722873,0.00001169522],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9910381,0.004503265,0.0002186759,0.0001560975,0.00002063164,0.00004068771,0.002598627,0.000006123057,0.001417785],"genre_scores_gemma":[0.9966826,0.001373776,0.0002120697,0.00003446115,0.0000191726,0.00002953279,0.001535497,0.000001361446,0.0001117344],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.03171619,"threshold_uncertainty_score":0.0630632,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05151002491413684,"score_gpt":0.2297332187220934,"score_spread":0.1782231938079566,"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."}}