{"id":"W2774911261","doi":"10.2196/publichealth.9136","title":"Discrepancies Between Classic and Digital Epidemiology in Searching for the Mayaro Virus: Preliminary Qualitative and Quantitative Analysis of Google Trends","year":2017,"lang":"en","type":"article","venue":"JMIR Public Health and Surveillance","topic":"Data-Driven Disease Surveillance","field":"Medicine","cited_by":22,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Outbreak; Epidemiology; Geography; Amazon rainforest; Virology; Biology; Medicine; Ecology","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":[0.008012679,0.0001750963,0.0002969642,0.005900529,0.0008510177,0.002620701,0.0005512922,0.0005184683,0.001423368],"category_scores_gemma":[0.02840293,0.0002022339,0.0004064347,0.005922371,0.001951431,0.003975695,0.002457679,0.0005230799,0.0001322514],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0025264,"about_ca_system_score_gemma":0.001404541,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01407452,"about_ca_topic_score_gemma":0.01471632,"domain_scores_codex":[0.9959556,0.001822554,0.0004577602,0.0003514554,0.001050903,0.0003617331],"domain_scores_gemma":[0.9754069,0.01438655,0.00527768,0.0006355885,0.003574754,0.0007184976],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0002103267,0.00005815651,0.7943333,0.001135611,0.0001005373,0.0002352887,0.1784668,0.000274254,0.0007128962,0.003750883,0.001279011,0.01944301],"study_design_scores_gemma":[0.000007906235,0.0001048767,0.6803753,0.0004748342,0.0000477967,0.0002797867,0.3093144,0.001661831,0.000252585,0.0008594808,0.006577973,0.00004317273],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9943542,0.0003533709,0.0003972363,0.0005328277,0.000009775381,0.0001250052,0.001223898,0.000007244024,0.00299644],"genre_scores_gemma":[0.99844,0.0001935279,0.000416188,0.00007411338,0.000009488474,0.00009419076,0.0004748628,0.000004913335,0.0002928137],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01407452,"threshold_uncertainty_score":0.04237562,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.173757986943876,"score_gpt":0.4757386442727154,"score_spread":0.3019806573288394,"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."}}