{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0008837214,0.0001092305,0.0002015842,0.001638526,0.0003563746,0.001289826,0.000163239,0.0001801218,0.003369696],"category_scores_gemma":[0.002604855,0.0001032664,0.0002702951,0.003342591,0.0006095428,0.001088357,0.001429419,0.0004480986,0.0001521437],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001496266,"about_ca_system_score_gemma":0.001792642,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02671275,"about_ca_topic_score_gemma":0.03222487,"domain_scores_codex":[0.9993045,0.0001469046,0.00004116623,0.00005875672,0.00009213638,0.0003564871],"domain_scores_gemma":[0.9981006,0.0003038192,0.000847335,0.0001226862,0.000285259,0.0003404843],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001750752,0.00007166778,0.9446968,0.0001343761,0.0001452626,0.0004664029,0.001658323,0.001866114,0.0003724536,0.01753255,0.004457826,0.02842322],"study_design_scores_gemma":[0.00001097965,0.00004272433,0.9841599,0.00008802512,0.00001938412,0.0001859868,0.005597966,0.0003013695,0.0001525995,0.000380926,0.009052344,0.000007731092],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.984966,0.001283483,0.0001184435,0.001557157,0.00002100632,0.00001135671,0.001146981,0.000005418774,0.0108901],"genre_scores_gemma":[0.998329,0.0005321587,0.00005491848,0.0001153738,0.000008792254,0.000006914308,0.0005613982,0.000003219281,0.0003882468],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02671275,"threshold_uncertainty_score":0.05311453,"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."}}