{"id":"W4221039846","doi":"10.1186/s12961-022-00836-z","title":"Correction to: Future health spending forecast in leading emerging BRICS markets in 2030: health policy implications","year":2022,"lang":"en","type":"erratum","venue":"Health Research Policy and Systems","topic":"Healthcare Systems and Reforms","field":"Economics, Econometrics and Finance","cited_by":4,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Toronto","funders":"","keywords":"Health services research; Health economics; Health policy; Public health; Health administration; Social policy; Quality of Life Research; Health spending; Emerging markets; Health informatics; Economics; Public economics; Political science; Medicine; Economic growth; Health care; Macroeconomics; Health insurance; Nursing","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.004998965,0.002582828,0.00232744,0.005282481,0.004041838,0.008213666,0.003582273,0.009352471,0.1244073],"category_scores_gemma":[0.1019179,0.00134085,0.00195794,0.005364532,0.002386656,0.004271172,0.002568939,0.01441738,0.08254185],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.008332932,"about_ca_system_score_gemma":0.01527781,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.1484646,"about_ca_topic_score_gemma":0.1485285,"domain_scores_codex":[0.9947236,0.0007334689,0.0009474496,0.0006341008,0.002410309,0.000551234],"domain_scores_gemma":[0.9360753,0.01591848,0.00220672,0.0032547,0.04026754,0.002277336],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.000007525294,0.000001487621,0.00002476076,0.00002080842,0.000001780573,0.00001966483,0.000007137474,0.00002260306,0.000003236326,0.0002395089,0.999015,0.0006365228],"study_design_scores_gemma":[0.00007780029,0.000007371791,0.001020541,0.000466771,0.00002545936,0.00007964451,0.0001559922,0.0004199235,0.0001577905,0.002755902,0.9947812,0.00005164686],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"editorial","genre_gemma":"other","genre_scores_codex":[0.0001206727,0.0005566153,0.0005255266,0.08949309,0.8922811,0.00003409385,0.01069242,0.0004069138,0.00588954],"genre_scores_gemma":[0.01054156,0.004207326,0.005694173,0.1562983,0.3091188,0.000629144,0.01396161,0.003344566,0.4962044],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.1484646,"threshold_uncertainty_score":0.4161839,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.2788286977980098,"score_gpt":0.4731585412470783,"score_spread":0.1943298434490686,"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."}}