{"id":"W3181769638","doi":"10.1186/s12874-021-01332-8","title":"Survey design and analysis considerations when utilizing misclassified sampling strata","year":2021,"lang":"en","type":"article","venue":"BMC Medical Research Methodology","topic":"Survey Methodology and Nonresponse","field":"Social Sciences","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"Public Health Ontario; University of Toronto","funders":"National Human Genome Research Institute; National Heart, Lung, and Blood Institute","keywords":"Stratified sampling; Sampling design; Sampling (signal processing); Simple random sample; Statistics; Systematic sampling; Sample size determination; Sample (material); Inference; Survey sampling; Computer science; Econometrics; Mathematics; Medicine; Artificial intelligence; Environmental health; Population","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":["metaresearch"],"consensus_categories":["metaresearch"],"category_scores_codex":[0.5747759,0.001609028,0.002397884,0.003588198,0.002108032,0.00546529,0.004855122,0.002972841,0.002346622],"category_scores_gemma":[0.6809764,0.00150125,0.003434019,0.004881566,0.005187921,0.003826417,0.004801595,0.003956058,0.0005786689],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.004975315,"about_ca_system_score_gemma":0.009065929,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.006545507,"about_ca_topic_score_gemma":0.008187802,"domain_scores_codex":[0.2737009,0.6655601,0.02414305,0.009165214,0.02590274,0.001527994],"domain_scores_gemma":[0.283628,0.5874827,0.03619486,0.05971447,0.03105658,0.001923423],"domain_codex":"methods","domain_gemma":"methods","domain_candidate":"methods","domain_consensus":"methods","study_design_codex":"design_other","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.004199598,0.000527709,0.2563317,0.007471709,0.006719156,0.0009285709,0.01736218,0.03760466,0.002609852,0.1284041,0.03409441,0.5037463],"study_design_scores_gemma":[0.002496103,0.006536578,0.2411072,0.01570119,0.004296466,0.002917516,0.007150721,0.1711394,0.01278408,0.3520086,0.1831026,0.0007595504],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.03074076,0.003344005,0.9380554,0.01104056,0.001254781,0.009317206,0.001022137,0.0004212122,0.004803958],"genre_scores_gemma":[0.2862093,0.001170013,0.6794837,0.008766887,0.0005603468,0.02219319,0.0005191883,0.000187523,0.0009100284],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.4252241,"threshold_uncertainty_score":0.524377,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.9413660578017012,"score_gpt":0.6646432639260955,"score_spread":0.2767227938756057,"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."}}