{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002418744,0.0000943274,0.0004558298,0.0004314273,0.00003705196,0.00004286443,0.0001094338,0.00007394282,0.0001055021],"category_scores_gemma":[0.00001721806,0.00007970788,0.0001025292,0.0007114537,0.00002052963,0.0001564185,0.00002709557,0.0001063876,0.0003398538],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002542692,"about_ca_system_score_gemma":0.000009155455,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01231434,"about_ca_topic_score_gemma":0.002112885,"domain_scores_codex":[0.9987735,0.00001737432,0.0005647042,0.0002597588,0.00003120702,0.0003534608],"domain_scores_gemma":[0.9994379,0.000007862401,0.0001766447,0.0002121448,0.00003967151,0.0001257769],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.000004419794,0.00004979084,0.9485074,0.00004642877,0.0001365586,0.000001731454,0.005097784,0.0001388627,8.705305e-8,0.008996377,0.000232125,0.0367885],"study_design_scores_gemma":[0.0002208429,0.00001385873,0.9848292,0.000002201365,0.00000206703,2.107791e-7,0.0007689185,0.0002160173,0.000003267998,0.0008226399,0.01300586,0.0001148824],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9305669,0.002132034,0.00006541309,0.0004755602,0.00025193,0.001032622,0.00004408469,0.00001989698,0.06541154],"genre_scores_gemma":[0.9973152,0.00002598301,0.00003784867,0.0001492637,0.00004284779,0.001792315,0.00001818329,0.000005630045,0.0006127874],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.06674822,"threshold_uncertainty_score":0.9942628,"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."}}