{"id":"W4307248969","doi":"10.5539/ijsp.v11n6p41","title":"Simple Sampling for SARS-CoV-2 Infection in Hidalgo","year":2022,"lang":"en","type":"article","venue":"International Journal of Statistics and Probability","topic":"Public Health and Environmental Issues","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Malnutrition; Context (archaeology); Population; Public health; Overweight; Representativeness heuristic; Pandemic; Obesity; Medicine; Environmental health; Geography; Coronavirus disease 2019 (COVID-19); Disease; Mathematics; Nursing; Statistics","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":[0.005058057,0.0003721245,0.0003503786,0.001419842,0.0009845227,0.000608759,0.0008985209,0.0005175089,0.001595916],"category_scores_gemma":[0.008814158,0.0003928233,0.0003072374,0.0007719558,0.0008323241,0.0002853604,0.001580874,0.0002874087,0.0002128522],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00134558,"about_ca_system_score_gemma":0.001796698,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02645274,"about_ca_topic_score_gemma":0.03129376,"domain_scores_codex":[0.9962753,0.002669972,0.0002190435,0.0003020556,0.0003092266,0.0002244777],"domain_scores_gemma":[0.9977623,0.0008457901,0.0006511199,0.0003047357,0.0002441799,0.0001918342],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.001255738,0.0008103473,0.9275864,0.0004853821,0.000121067,0.001145267,0.006166491,0.003126592,0.005358051,0.002719451,0.002316426,0.04890859],"study_design_scores_gemma":[0.0001092872,0.002434952,0.9805462,0.0001061877,0.00004298584,0.0005514281,0.004001436,0.006189717,0.001111635,0.001155848,0.003722926,0.00002740196],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9805683,0.000320824,0.01030304,0.000304804,0.00006696593,0.004973317,0.0007208331,0.00003405807,0.002707884],"genre_scores_gemma":[0.9760886,0.0003725489,0.01671084,0.0003309397,0.00005441285,0.003826765,0.0008543993,0.000004596681,0.001756948],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02645274,"threshold_uncertainty_score":0.05259758,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03971130091801661,"score_gpt":0.338964588967347,"score_spread":0.2992532880493304,"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."}}