{"id":"W3200195131","doi":"10.2196/29413","title":"Tracking Self-reported Symptoms and Medical Conditions on Social Media During the COVID-19 Pandemic: Infodemiological Study","year":2021,"lang":"en","type":"article","venue":"JMIR Public Health and Surveillance","topic":"Mental Health via Writing","field":"Psychology","cited_by":21,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"National Heart, Lung, and Blood Institute; National Center for Advancing Translational Sciences; Yale University","keywords":"Social media; Pandemic; Tracking (education); Coronavirus disease 2019 (COVID-19); Sample (material); Public health surveillance; Medicine; Mental health; Psychology; Public health; Computer science; Psychiatry; Disease; 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":[0.001456195,0.000285297,0.0002616444,0.002552331,0.0006969111,0.0009896377,0.000483912,0.0008436993,0.002878811],"category_scores_gemma":[0.007347311,0.0003352021,0.0005841016,0.002195252,0.0003974076,0.00166129,0.00114119,0.0007445546,0.001172883],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004827073,"about_ca_system_score_gemma":0.0005662077,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.008870341,"about_ca_topic_score_gemma":0.01260811,"domain_scores_codex":[0.9989488,0.0003619762,0.0001240433,0.000245315,0.0001597777,0.0001600316],"domain_scores_gemma":[0.9945956,0.001800737,0.001977589,0.0004284526,0.0006839018,0.0005138348],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001212978,0.0003435162,0.9901731,0.0001351356,0.00006851536,0.0001261677,0.001802901,0.0000793752,0.0003118189,0.0001192112,0.001148601,0.005570305],"study_design_scores_gemma":[0.00001163217,0.0002086281,0.9935458,0.00005342528,0.00004202979,0.0002122003,0.003292659,0.0008645561,0.0001613161,0.00007202717,0.001520651,0.0000150655],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9920762,0.0001478509,0.0003327949,0.0001538258,0.00002177623,0.0001846311,0.005539885,0.00001260699,0.00153047],"genre_scores_gemma":[0.9928508,0.0002064857,0.0009258243,0.0002086648,0.00009739814,0.000409149,0.004498796,0.00001216156,0.000790746],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.008870341,"threshold_uncertainty_score":0.01763743,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1562590513165281,"score_gpt":0.4522904229782261,"score_spread":0.296031371661698,"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."}}