{"id":"W4292405971","doi":"10.2196/37984","title":"Discovering Long COVID Symptom Patterns: Association Rule Mining and Sentiment Analysis in Social Media Tweets","year":2022,"lang":"en","type":"article","venue":"JMIR Formative Research","topic":"Long-Term Effects of COVID-19","field":"Medicine","cited_by":26,"is_retracted":false,"has_abstract":true,"ca_institutions":"Western University; University of Manitoba","funders":"Canadian Institutes of Health Research","keywords":"Coronavirus disease 2019 (COVID-19); Social media; Medicine; Confidence interval; Depression (economics); Chest pain; Sentiment analysis; Pandemic; Psychology; Internal medicine; Disease","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.003359643,0.0001458765,0.000423582,0.001228204,0.0005523881,0.0001056546,0.0001352535,0.00007381594,0.0003137964],"category_scores_gemma":[0.0005226955,0.0001420646,0.000125739,0.001472425,0.00006420861,0.0003938423,0.0006246253,0.0006342127,0.00001149946],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002712541,"about_ca_system_score_gemma":0.0002050734,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001760137,"about_ca_topic_score_gemma":0.0002103625,"domain_scores_codex":[0.9960212,0.0008312309,0.0003567261,0.0003081101,0.001878632,0.0006040891],"domain_scores_gemma":[0.9972632,0.002099572,0.0001573343,0.0001730773,0.000117571,0.0001892687],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001647251,0.0001912874,0.9451444,0.000321328,0.0004310091,0.0001349828,0.05090179,0.00006298559,0.0002109966,0.0000312321,0.0007513089,0.001653985],"study_design_scores_gemma":[0.002083327,0.000194379,0.9867806,0.00007084788,0.00009699653,0.000006672931,0.00786468,0.002187206,0.0002481429,0.00007627496,0.0002442515,0.0001465848],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9959,0.00007476224,0.00009583105,0.002630946,0.00005787967,0.0007155848,0.0000744201,0.00003407835,0.0004164524],"genre_scores_gemma":[0.9988845,0.00001798619,0.0000295121,0.0001664777,0.0001194799,0.0004218757,0.0001891669,0.00001900119,0.0001520245],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.04303711,"threshold_uncertainty_score":0.7093199,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03186389814604484,"score_gpt":0.4002723702355629,"score_spread":0.368408472089518,"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."}}