{"id":"W3155602756","doi":"10.2196/25728","title":"Latin America and the Caribbean SARS-CoV-2 Surveillance: Longitudinal Trend Analysis","year":2021,"lang":"en","type":"article","venue":"JMIR Public Health and Surveillance","topic":"COVID-19 epidemiological studies","field":"Mathematics","cited_by":24,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"United States Agency for International Development","keywords":"Jerk; Pandemic; Public health surveillance; Demography; Transmission (telecommunications); Geography; Proxy (statistics); Coronavirus disease 2019 (COVID-19); Public health; Statistics; Acceleration; Medicine; Econometrics; Environmental health; Computer science; Economics; Mathematics; Telecommunications","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"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":[0.002756284,0.000410056,0.0003208554,0.003233068,0.000336712,0.001017172,0.0004075106,0.0002858573,0.002088946],"category_scores_gemma":[0.006434565,0.0001846549,0.0004001502,0.004932068,0.0001386638,0.0004506123,0.0006496728,0.0003480842,0.0003958738],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001132941,"about_ca_system_score_gemma":0.001716841,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.1418511,"about_ca_topic_score_gemma":0.1376784,"domain_scores_codex":[0.9991031,0.0003553418,0.0001050794,0.0001606305,0.0001658616,0.0001100779],"domain_scores_gemma":[0.9975675,0.0003443827,0.0007268529,0.000233494,0.001028375,0.00009937445],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001246576,0.0000608363,0.9102387,0.0002147606,0.0002711824,0.000180312,0.0005834425,0.002697744,0.0006636981,0.0009145156,0.009634797,0.07441523],"study_design_scores_gemma":[0.00002347209,0.00009089296,0.9555364,0.0003265952,0.0001597401,0.0002190812,0.001517184,0.01461575,0.0003817964,0.0008998095,0.02619515,0.00003419621],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9021463,0.00466769,0.01642188,0.002537251,0.00009584037,0.0004207399,0.05058027,0.0004051186,0.02272486],"genre_scores_gemma":[0.9494071,0.003482487,0.01268689,0.0003622899,0.0001066246,0.0007078108,0.03033667,0.00007136177,0.002838891],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1418511,"threshold_uncertainty_score":0.2820509,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.204547605216798,"score_gpt":0.4250704450684715,"score_spread":0.2205228398516735,"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."}}