{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001605618,0.0002267267,0.000522305,0.002585229,0.0008428165,0.001028198,0.0005965286,0.0007566437,0.001677793],"category_scores_gemma":[0.005883099,0.000492154,0.0008220486,0.004004737,0.0006662913,0.001445302,0.001078188,0.000634937,0.0004256356],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008436012,"about_ca_system_score_gemma":0.0006772269,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02996781,"about_ca_topic_score_gemma":0.03157213,"domain_scores_codex":[0.9979588,0.0005869597,0.0003897244,0.000438577,0.00034672,0.00027931],"domain_scores_gemma":[0.9955695,0.0008694622,0.002263243,0.0004158544,0.0004729753,0.0004089894],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001004956,0.00008136397,0.9983652,0.0000232985,0.00004186545,0.00004965817,0.0007242333,0.00001006701,0.0001028857,0.00001124081,0.00004166077,0.0004480211],"study_design_scores_gemma":[0.000008971861,0.0002006073,0.9975841,0.00001083305,0.00004064634,0.0001422905,0.001733368,0.0001085384,0.00003662881,0.000009453059,0.0001175347,0.00000703759],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9992811,0.0001393409,0.0000321398,0.00001626031,0.000001808096,0.00002345204,0.0002670735,0.000001601896,0.0002372268],"genre_scores_gemma":[0.9995117,0.00007578617,0.00004475932,0.00001775426,0.000003759515,0.00002659198,0.0002206588,0.000001588494,0.00009717467],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02996781,"threshold_uncertainty_score":0.05958676,"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."}}