{"id":"W2767649331","doi":"10.2196/publichealth.8306","title":"Health Information–Seeking Patterns of the General Public and Indications for Disease Surveillance: Register-Based Study Using Lyme Disease","year":2017,"lang":"en","type":"article","venue":"JMIR Public Health and Surveillance","topic":"Health Literacy and Information Accessibility","field":"Health Professions","cited_by":38,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"The Internet; Public health; Internet privacy; Disease; Medicine; Health care; Public health informatics; Family medicine; Medical emergency; Health policy; HRHIS; World Wide Web; Computer science; Nursing; Pathology; Political science","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["sts"],"consensus_categories":[],"category_scores_codex":[0.006994215,0.0002656384,0.0006174024,0.000230559,0.006348636,0.0003287147,0.0005708011,0.000102079,0.00002492305],"category_scores_gemma":[0.002875633,0.0002004862,0.0000880199,0.0002452424,0.0001834905,0.002124308,0.0002947898,0.0004285281,0.000001905197],"about_ca_system_candidate":true,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003119913,"about_ca_system_score_gemma":0.00757664,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0009330951,"about_ca_topic_score_gemma":0.0009915156,"domain_scores_codex":[0.9940161,0.00174656,0.002303973,0.0003967663,0.0004972134,0.001039446],"domain_scores_gemma":[0.9920283,0.0005166904,0.003425053,0.001463852,0.0006695481,0.001896587],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00009569716,0.0001469488,0.9767135,0.003226167,0.000009944416,1.029756e-7,0.002866461,0.000001896034,7.960323e-8,0.0009514665,0.0006245545,0.01536323],"study_design_scores_gemma":[0.001886771,0.00008691906,0.9277997,0.0001161575,9.87916e-7,3.272106e-7,0.001050809,0.01275862,1.228154e-8,0.00007140579,0.05605892,0.0001693374],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9096694,0.0003570546,0.009674759,0.07139248,0.0006015276,0.006229357,0.001909556,0.00007852329,0.00008733475],"genre_scores_gemma":[0.9837,0.00008435237,0.0002621082,0.01455285,0.0001720836,0.000803558,0.0003287812,0.00001933245,0.00007691966],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.07403061,"threshold_uncertainty_score":0.9980495,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1003525097042098,"score_gpt":0.4452728245461187,"score_spread":0.3449203148419089,"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."}}