{"id":"W3184105197","doi":"10.1136/bmjopen-2020-047330","title":"Retrospective secondary data analysis to identify high-cost users in inpatient department of hospitals in Thailand, a middle-income country with universal healthcare coverage","year":2021,"lang":"en","type":"article","venue":"BMJ Open","topic":"Healthcare Systems and Reforms","field":"Economics, Econometrics and Finance","cited_by":6,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"Thailand Research Fund; National University of Singapore; Bill and Melinda Gates Foundation","keywords":"Medicine; Health care; Population; Inpatient care; Retrospective cohort study; Comorbidity; Fiscal year; Health economics; Public health; Family medicine; Emergency medicine; Demography; Medical emergency; Environmental health; Nursing; Finance; Psychiatry","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":[0.001361655,0.0001695991,0.001002565,0.0004815382,0.00005181984,0.000100835,0.000628805,0.0001159465,0.0001378117],"category_scores_gemma":[0.00007425201,0.0001545549,0.00005500051,0.001783346,0.00002482342,0.0005344498,0.0006627116,0.0002129549,0.00003044504],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008573461,"about_ca_system_score_gemma":0.0004188555,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.08025873,"about_ca_topic_score_gemma":0.1631574,"domain_scores_codex":[0.9976678,0.00008058824,0.001032906,0.0007417197,0.0001280026,0.0003489589],"domain_scores_gemma":[0.9981132,0.00001834599,0.0004987063,0.001126556,0.00008686231,0.000156356],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001456153,0.00009928109,0.9948384,0.00020654,0.0002456518,0.0001551395,0.001037617,0.0002690893,7.18589e-7,0.002708022,0.00006206717,0.0002318964],"study_design_scores_gemma":[0.001484417,0.000199702,0.994994,0.0003144887,0.000009882309,0.000003678581,0.0009313648,0.0001028951,0.00001156363,0.0003299993,0.001378719,0.0002392369],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9868484,0.0002426869,0.0001392132,0.001160572,0.0002211064,0.003646508,0.006137082,0.000005953452,0.001598547],"genre_scores_gemma":[0.9977496,0.00008359425,0.0003462179,0.0003455798,0.0000245074,0.0002087435,0.0009979388,0.00001980148,0.0002240022],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.08289863,"threshold_uncertainty_score":0.9258659,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0629451154156047,"score_gpt":0.3393711160647585,"score_spread":0.2764260006491538,"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."}}