{"id":"W3134680231","doi":"10.7759/cureus.13594","title":"Content Analysis and Characterization of Medical Tweets During the Early Covid-19 Pandemic","year":2021,"lang":"en","type":"article","venue":"Cureus","topic":"Social Media in Health Education","field":"Social Sciences","cited_by":10,"is_retracted":false,"has_abstract":true,"ca_institutions":"McMaster University; University of Saskatchewan; University of Ottawa; Canadian Association of Nurses in Oncology; University of British Columbia","funders":"","keywords":"Coronavirus disease 2019 (COVID-19); Pandemic; Social media; Medicine; Content analysis; Public health; Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2); 2019-20 coronavirus outbreak; Public relations; Medical education; Nursing; Pathology; World Wide Web; Sociology; Political science; Disease; Computer science; Social science","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001479119,0.0002865236,0.0003255966,0.006677052,0.0008188155,0.001508844,0.0003060111,0.0004612469,0.001647044],"category_scores_gemma":[0.01438639,0.0001447581,0.0002861161,0.004990576,0.0004156037,0.001555333,0.00142034,0.000393888,0.0007189288],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007507467,"about_ca_system_score_gemma":0.0006860397,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002828313,"about_ca_topic_score_gemma":0.003434866,"domain_scores_codex":[0.9983792,0.000572286,0.0002586809,0.0002165168,0.0003541448,0.0002191861],"domain_scores_gemma":[0.9867011,0.00868282,0.002264712,0.0003536053,0.001627398,0.000370287],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.002396041,0.0002786609,0.6646584,0.00457312,0.0001904231,0.002273426,0.08785228,0.001132203,0.02854158,0.002658061,0.02331775,0.182128],"study_design_scores_gemma":[0.00004305405,0.0003305005,0.8823763,0.0009604849,0.0001657329,0.001221659,0.05499331,0.006696268,0.008025003,0.001545429,0.04352413,0.0001181815],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9783699,0.000588179,0.001459995,0.0007181366,0.00009843895,0.0004004527,0.01467166,0.00008642403,0.003606824],"genre_scores_gemma":[0.9776952,0.000797955,0.005446009,0.0003259853,0.0002041679,0.000884677,0.01232114,0.00006929431,0.002255546],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.006677052,"threshold_uncertainty_score":0.007822394,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.2088737278601454,"score_gpt":0.4339279751268461,"score_spread":0.2250542472667006,"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."}}