{"id":"W2125324057","doi":"10.1186/1472-6963-10-76","title":"Comparing public and private hospitals in China: Evidence from Guangdong","year":2010,"lang":"en","type":"article","venue":"BMC Health Services Research","topic":"Healthcare Systems and Reforms","field":"Economics, Econometrics and Finance","cited_by":88,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Calgary","funders":"World Bank Group","keywords":"Staffing; Health administration; Government (linguistics); Business; Health care; Case mix index; China; Medicine; Health informatics; Public health; Finance; Nursing; Economic growth; Economics","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":[0.006705006,0.000148301,0.0005656864,0.0005778944,0.0003441558,0.0002632983,0.0005275446,0.0001933023,0.00008995691],"category_scores_gemma":[0.0001374602,0.0001337005,0.00003952194,0.0007135831,0.00008403932,0.000647299,0.0003294518,0.0009960312,0.000274663],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001897733,"about_ca_system_score_gemma":0.0002110931,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.1344784,"about_ca_topic_score_gemma":0.03613373,"domain_scores_codex":[0.9970134,0.000153949,0.0009976897,0.0006515121,0.0001689925,0.001014378],"domain_scores_gemma":[0.9984239,0.0001510973,0.0002605497,0.0005934731,0.00007373111,0.0004972802],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.000009032206,0.00002959566,0.9873472,0.001005505,0.000004550484,0.000002243845,0.00223162,0.000001561953,0.00001937253,0.007093591,0.000005615579,0.002250059],"study_design_scores_gemma":[0.0003172724,0.00007219694,0.9875436,0.0003833143,1.022668e-7,0.00000164828,0.0003822831,0.004118351,0.000007543572,0.003558204,0.003477937,0.0001375598],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9869515,0.008868875,0.00006239747,0.002216725,0.0004111398,0.0007070217,0.00003207876,0.00003400624,0.0007163137],"genre_scores_gemma":[0.9969075,0.001570114,0.000904385,0.0001847398,0.0002509821,0.00007332148,0.00001091973,0.00002727538,0.00007080831],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.09834468,"threshold_uncertainty_score":0.9814543,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1378986677470256,"score_gpt":0.3828620289380029,"score_spread":0.2449633611909773,"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."}}