{"id":"W4294507351","doi":"10.26633/rpsp.2022.126","title":"Chile’s public healthcare sector hypertension control rates before and during the pandemic and HEARTS implementation","year":2022,"lang":"en","type":"article","venue":"Revista Panamericana de Salud Pública","topic":"Cardiac Health and Mental Health","field":"Medicine","cited_by":9,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Medicine; Pandemic; Blood pressure; Context (archaeology); Public health; Quarter (Canadian coin); Health care; Population; Demography; Mortality rate; Public sector; Coronavirus disease 2019 (COVID-19); Gerontology; Environmental health; Emergency medicine; Disease; Internal medicine; Economic growth; Political science; Nursing; Infectious disease (medical specialty)","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":[],"consensus_categories":[],"category_scores_codex":[0.0007173042,0.0001750798,0.0004663341,0.0001330066,0.0008726673,0.00004625989,0.00005775319,0.00003502181,0.0001187603],"category_scores_gemma":[0.00005912623,0.0001344967,0.00007470448,0.000380431,0.0001082805,0.00005908291,0.00008870634,0.0003977518,0.000001711385],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005199969,"about_ca_system_score_gemma":0.0005358114,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004177476,"about_ca_topic_score_gemma":0.0005524954,"domain_scores_codex":[0.9979323,0.0004073929,0.0003802631,0.0003660769,0.0003263901,0.0005875746],"domain_scores_gemma":[0.9987566,0.000114698,0.0001663344,0.0002866808,0.00006091619,0.0006147379],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001838158,0.00003876509,0.9532781,0.000623991,0.00003985518,0.00002442567,0.0006095273,4.479021e-7,0.0008597194,0.0002451476,0.001021662,0.04307453],"study_design_scores_gemma":[0.00200736,0.0006757057,0.9305497,0.00003844548,0.00007086202,0.0014962,0.002943692,0.0001344995,0.000006053566,0.00001368267,0.06193984,0.0001239909],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9552453,0.004426561,0.000009622503,0.03860323,0.00006835452,0.0013858,0.0001598357,0.00006990255,0.00003135863],"genre_scores_gemma":[0.9842951,0.001551623,0.00005049459,0.01350957,0.0001888132,0.0002192716,0.0001090287,0.00003284628,0.00004320078],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.06091817,"threshold_uncertainty_score":0.671194,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02146963264799938,"score_gpt":0.3220606696399808,"score_spread":0.3005910369919814,"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."}}