{"id":"W4381432080","doi":"10.1136/bmjopen-2022-068016","title":"Expansion of testing, isolation, quarantine, e-health and telemonitoring strategies in socioeconomically vulnerable neighbourhoods at primary healthcare in the fight against COVID-19 in Brazil: a study protocol of a multisite testing intervention using a mixed method approach","year":2023,"lang":"en","type":"article","venue":"BMJ Open","topic":"Education during COVID-19 pandemic","field":"Social Sciences","cited_by":5,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Unitaid; Ministério da Saúde; Canada Excellence Research Chairs, Government of Canada; World Health Organization","keywords":"Medicine; Coronavirus disease 2019 (COVID-19); Quarantine; Isolation (microbiology); Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2); 2019-20 coronavirus outbreak; Protocol (science); Pandemic; Health care; Environmental health; Virology; Disease; Bioinformatics; Alternative medicine; Pathology; Infectious disease (medical specialty); Outbreak; Economic growth","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.01631351,0.0001447548,0.000456454,0.0003997929,0.000401201,0.000134335,0.0004717584,0.0000942297,0.000003773795],"category_scores_gemma":[0.00356934,0.0001341875,0.0000331639,0.001506978,0.00007821633,0.000528618,0.0002984928,0.0003000859,5.216775e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008378908,"about_ca_system_score_gemma":0.003077648,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.07435992,"about_ca_topic_score_gemma":0.02233939,"domain_scores_codex":[0.9936927,0.004002256,0.001196463,0.0004329849,0.0003198924,0.0003557009],"domain_scores_gemma":[0.9965369,0.002141856,0.0008650356,0.0002541011,0.0001079222,0.00009417655],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001172436,0.0002614132,0.8871023,0.001212179,0.000005402736,0.000002074245,0.1020951,0.005395859,0.0005473176,0.00007012842,0.00001955325,0.003171435],"study_design_scores_gemma":[0.00339559,0.0002453714,0.7849262,0.001150097,0.000004533374,0.000002276224,0.1869477,0.02255642,0.00001980009,0.000516287,0.00003427142,0.0002014159],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.891785,0.00001495478,0.0003727185,0.0008065694,0.0000436825,0.1066409,0.000003923734,0.00002928543,0.0003029122],"genre_scores_gemma":[0.9295735,0.000002234006,0.02356032,0.0002876582,0.00005472684,0.04646519,0.00001059373,0.00001958131,0.00002615873],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1021761,"threshold_uncertainty_score":0.9955004,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.2650331738960963,"score_gpt":0.5492565115628745,"score_spread":0.2842233376667782,"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."}}