{"id":"W4394748264","doi":"10.3233/sji-230021","title":"A simulation study of sampling in difficult settings: Statistical superiority of a little-used method","year":2024,"lang":"en","type":"article","venue":"Statistical Journal of the IAOS","topic":"Data-Driven Disease Surveillance","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"McMaster University; Impact","funders":"Canadian Institutes of Health Research","keywords":"Cluster sampling; Statistics; Sampling (signal processing); Population; Sample (material); Cluster (spacecraft); Sample size determination; Simple random sample; Systematic sampling; Cluster analysis; Stratified sampling; Mean squared error; Grid; Sampling design; Multistage sampling; Econometrics; Mathematics; Demography; Computer science","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001216587,0.0001369572,0.0006558317,0.0001445921,0.00002479498,0.00002126236,0.0001769254,0.00004944559,0.0001122455],"category_scores_gemma":[0.006821583,0.00008775646,0.00009604089,0.0004161583,0.0001209235,0.00007390342,0.00008306096,0.000450384,0.000002517899],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00009893208,"about_ca_system_score_gemma":0.0003273525,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00005707019,"about_ca_topic_score_gemma":0.00003733855,"domain_scores_codex":[0.9972919,0.0005046884,0.001063851,0.000187255,0.0007642857,0.0001880831],"domain_scores_gemma":[0.9946986,0.004336766,0.0002374996,0.0002533812,0.0003326115,0.0001411474],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.01348973,0.01813175,0.6145046,0.01068193,0.003888713,0.004669514,0.03102089,0.08218168,0.06864133,0.02985564,0.002370831,0.1205633],"study_design_scores_gemma":[0.004345876,0.001770501,0.8618503,0.001695163,0.0008104429,0.0001112347,0.002316981,0.1211446,0.0003723241,0.00507137,0.0003052106,0.0002059921],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7073269,0.0001513653,0.2905422,0.0002565785,0.0002104948,0.0004317272,0.001044634,0.00001240584,0.00002361444],"genre_scores_gemma":[0.9537516,0.00000391604,0.04609512,0.00002872206,0.00007822242,0.000002355501,0.00001447662,0.0000179998,0.000007600481],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2473457,"threshold_uncertainty_score":0.8166565,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03368988599722543,"score_gpt":0.4060611121740206,"score_spread":0.3723712261767952,"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."}}