{"id":"W3210735461","doi":"10.2196/31961","title":"Analyzing Citizens’ and Health Care Professionals’ Searches for Smell/Taste Disorders and Coronavirus in Finland During the COVID-19 Pandemic: Infodemiological Approach Using Database Logs","year":2021,"lang":"en","type":"article","venue":"JMIR Public Health and Surveillance","topic":"Data-Driven Disease Surveillance","field":"Medicine","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Pandemic; Database; Medicine; Biostatistics; Outbreak; The Internet; Epidemiology; Public health; Negative binomial distribution; Disease; Infectious disease (medical specialty); Coronavirus disease 2019 (COVID-19); Family medicine; Computer science; World Wide Web; Statistics; Virology; Pathology","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":[0.002888069,0.0004360107,0.0004190753,0.00702161,0.0004136198,0.001501631,0.0006682408,0.0009157342,0.0008057864],"category_scores_gemma":[0.01175465,0.0002618231,0.0007093803,0.004605411,0.000460014,0.001559714,0.001061192,0.0005133929,0.0002949954],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001318846,"about_ca_system_score_gemma":0.0009580527,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02434955,"about_ca_topic_score_gemma":0.01814688,"domain_scores_codex":[0.9980664,0.000721977,0.0003282222,0.0003660278,0.0002994277,0.0002178686],"domain_scores_gemma":[0.9830062,0.01161699,0.003250343,0.0006763054,0.0008008224,0.0006493981],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001419739,0.0002074771,0.9865211,0.0001088336,0.00008991879,0.0001977824,0.0008591313,0.002801127,0.0004054638,0.0001959455,0.000382099,0.008089105],"study_design_scores_gemma":[0.00001484158,0.0002701874,0.9425679,0.00005694478,0.00008869809,0.0003459326,0.004507998,0.04971977,0.0007675934,0.0004179933,0.001202715,0.00003943795],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.993664,0.0001283681,0.0009505731,0.0001254835,0.000005249357,0.00005485027,0.004643359,0.00003711008,0.0003910284],"genre_scores_gemma":[0.9919241,0.00008328679,0.002067439,0.00002838554,0.00001554881,0.00008753229,0.005614396,0.000004402649,0.0001748891],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02434955,"threshold_uncertainty_score":0.0484156,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1966276077546241,"score_gpt":0.4352277487741369,"score_spread":0.2386001410195128,"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."}}