{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.02796287,0.0009202462,0.0006587653,0.002107442,0.001021018,0.001064988,0.001578077,0.001439497,0.002722272],"category_scores_gemma":[0.04881742,0.0008060925,0.001473192,0.001715185,0.0008932729,0.003165263,0.001859109,0.001271639,0.001409716],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001697511,"about_ca_system_score_gemma":0.004698859,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02023534,"about_ca_topic_score_gemma":0.01474382,"domain_scores_codex":[0.9829752,0.01399577,0.0006644804,0.0007506814,0.0009155063,0.0006983001],"domain_scores_gemma":[0.9674311,0.02034543,0.002958678,0.003308835,0.004048883,0.001906949],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.004997735,0.03163006,0.8808746,0.0009694652,0.0004967862,0.000749269,0.004369628,0.004317139,0.0009009029,0.001301849,0.002619265,0.06677344],"study_design_scores_gemma":[0.003521372,0.09254389,0.82368,0.0003889113,0.0006701757,0.001203333,0.01045425,0.0563263,0.001901363,0.001883216,0.007169565,0.0002575717],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.983466,0.0001149306,0.005033151,0.0004743421,0.00002602284,0.007302492,0.001500942,0.00005759627,0.002024639],"genre_scores_gemma":[0.9743215,0.0001975182,0.01263817,0.0003445902,0.00006567907,0.009936755,0.001974922,0.00001415364,0.0005067124],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02796287,"threshold_uncertainty_score":0.1478836,"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."}}