{"id":"W2769634723","doi":"10.2427/12726","title":"Challenges and opportunities in establishing an Health Examination Survey","year":2022,"lang":"en","type":"article","venue":"Epidemiology Biostatistics and Public Health","topic":"Health Promotion and Cardiovascular Prevention","field":"Medicine","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"Health Care Foundation","funders":"","keywords":"Documentation; Quality assurance; Notice; Data collection; Population; Data quality; Computer science; Quality (philosophy); Sampling (signal processing); Sample (material); Psychology; Medical education; Medicine; Operations management; Environmental health; Statistics; Engineering; External quality assessment; Political science","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":"codex-gemma-dda1882f352a","candidate_categories":["metaresearch"],"consensus_categories":[],"category_scores_codex":[0.101985,0.0001200569,0.0006457806,0.0003099362,0.0003596672,0.00001223384,0.00004804956,0.00007348137,0.0000417268],"category_scores_gemma":[0.002579655,0.000122902,0.00002441438,0.0001214366,0.0000944376,0.0001286268,0.00007800209,0.0004273848,4.652251e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002203499,"about_ca_system_score_gemma":0.0008574948,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002344406,"about_ca_topic_score_gemma":0.001660846,"domain_scores_codex":[0.9568083,0.04085094,0.000927294,0.0005185689,0.0002103409,0.0006845056],"domain_scores_gemma":[0.9977657,0.001019118,0.0002712486,0.000208483,0.00007423835,0.0006612677],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"observational","study_design_scores_codex":[0.000003650999,0.0001197998,0.01963184,0.0003552496,0.00001497252,0.000007847895,0.001912261,0.000001393786,1.567802e-7,0.02486297,0.000397809,0.952692],"study_design_scores_gemma":[0.0006792482,0.001122723,0.9732652,0.00003016063,0.000002949309,0.0001633978,0.003091475,0.001466878,1.75309e-8,0.00137481,0.01871685,0.00008630154],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"commentary","genre_gemma":"empirical","genre_scores_codex":[0.3422666,0.1154942,0.1269368,0.4100784,0.0008712157,0.002324283,0.0007553363,0.0001719649,0.001101246],"genre_scores_gemma":[0.9150296,0.067881,0.002411377,0.01293993,0.0000588659,0.00005952266,0.00153618,0.00001759853,0.00006595074],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9536334,"threshold_uncertainty_score":0.9246954,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.4395667623254786,"score_gpt":0.4329414268432872,"score_spread":0.006625335482191463,"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."}}