{"id":"W6922463062","doi":"10.1184/r1/11786922","title":"Lifestyle Disease Surveillance Using Population Search Behavior: Feasibility Study","year":2020,"lang":"en","type":"article","venue":"KiltHub Repository","topic":"Data-Driven Disease Surveillance","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Generalizability theory; Multivariate statistics; Proxy (statistics); Regression analysis; Population; Disease; Regression; Model selection; Multivariate analysis","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0003731762,0.0002481467,0.0004618377,0.00006462006,0.00021993,0.00006084421,0.0001969133,0.00006556883,0.00004993129],"category_scores_gemma":[0.0003562491,0.0002470824,0.0001631574,0.0003543139,0.00008137224,0.0001915538,0.0001774001,0.0002770532,0.00004864562],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002782434,"about_ca_system_score_gemma":0.0002868559,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003579188,"about_ca_topic_score_gemma":0.00002026396,"domain_scores_codex":[0.9970441,0.0004701338,0.0005222782,0.0008091686,0.0007933714,0.0003609561],"domain_scores_gemma":[0.9976267,0.00006415789,0.0001341169,0.0009955949,0.0002152762,0.0009641419],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0006292009,0.001016314,0.9931355,0.0001677431,0.00004472659,0.0008191323,0.0001891943,0.00009369296,0.003182762,0.000002916151,0.0004471413,0.0002717424],"study_design_scores_gemma":[0.001291639,0.0002555792,0.9945275,0.00003711271,0.000143999,0.00002564916,0.0001680849,0.00306772,0.0001159199,0.000001803362,0.000133693,0.0002313472],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9962372,0.0003689763,0.00005834666,0.0002341615,0.0002532848,0.001755231,0.0001052448,0.0003711504,0.0006164701],"genre_scores_gemma":[0.9984888,0.000004979092,0.0002354371,0.0002194348,0.0005970454,0.0000378033,0.0001913133,0.00005250115,0.0001727056],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.003066842,"threshold_uncertainty_score":0.9999982,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06367894319392689,"score_gpt":0.3449601524450451,"score_spread":0.2812812092511182,"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."}}