{"id":"W7110539481","doi":"","title":"COVID-19 & HEALTHCARE (RE)PRIVATIZATION? A COMPARATIVE ANALYSIS OF HIGH AND MEDIUM PER CAPITA GDP COUNTRIES","year":2025,"lang":"","type":"article","venue":"The Open Repository - Binghamton (Binghamton University)","topic":"Employment and Welfare Studies","field":"Health Professions","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Health care; Per capita; Pandemic; Public healthcare; Population ageing; Population; Panel data; Healthcare system","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":["metaepi_narrow","sts","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.002009341,0.0008413764,0.002408256,0.002134851,0.009057709,0.0002665501,0.002341696,0.0006069927,0.001043256],"category_scores_gemma":[0.0002526842,0.0007427149,0.000393561,0.003937732,0.001954656,0.0008075864,0.003981937,0.00115617,0.00002434046],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001732221,"about_ca_system_score_gemma":0.004395844,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.05542512,"about_ca_topic_score_gemma":0.01259562,"domain_scores_codex":[0.9911816,0.003863049,0.001628201,0.00143162,0.0008618938,0.001033673],"domain_scores_gemma":[0.9912902,0.00311144,0.001914939,0.001569092,0.001420087,0.0006943047],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"not_applicable","study_design_scores_codex":[0.003081163,0.000518958,0.5055444,0.002453393,0.01492161,0.0001120821,0.1679166,0.0008165439,0.0003486193,0.2732626,0.03092969,0.00009445417],"study_design_scores_gemma":[0.008078096,0.0008926441,0.3001368,0.00192605,0.01823849,0.000006096434,0.2382853,0.0009289833,0.0008858764,0.001591586,0.4271963,0.001833731],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7948146,0.006547525,0.001216629,0.1067521,0.003546454,0.00763619,0.0007240791,0.0002496862,0.07851265],"genre_scores_gemma":[0.9128011,0.002485293,0.0001050237,0.003315467,0.0001116561,0.00002555878,0.0001266488,0.00003390155,0.08099536],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3962666,"threshold_uncertainty_score":0.9998699,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06762563353442676,"score_gpt":0.3748256057180485,"score_spread":0.3071999721836217,"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."}}