{"id":"W4206745703","doi":"10.2196/preprints.26254","title":"Using Twitter to Understand the COVID-19 Experiences of People With Dementia: Infodemiology Study (Preprint)","year":2020,"lang":"en","type":"preprint","venue":"","topic":"Dementia and Cognitive Impairment Research","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Alzheimer Society of Canada; Toronto Dementia Research Alliance","funders":"Canadian Institutes of Health Research; Alzheimer Society; Saskatchewan Health Research Foundation; Consortium canadien en neurodégénérescence associée au vieillissement","keywords":"Dementia; Coronavirus disease 2019 (COVID-19); Confusion; Thematic analysis; Psychology; Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2); 2019-20 coronavirus outbreak; Respite care; Medicine; Nursing; Qualitative research; Sociology; Social science; Disease","routes":{"ca_aff":true,"ca_fund":true,"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":[0.001653017,0.0003262812,0.0004376641,0.001133221,0.003424917,0.003398472,0.0004300968,0.001128067,0.007012502],"category_scores_gemma":[0.01046656,0.0003315146,0.0004435477,0.001813864,0.001263403,0.007500149,0.003914772,0.001705144,0.001692254],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001972548,"about_ca_system_score_gemma":0.001565985,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01288898,"about_ca_topic_score_gemma":0.01895008,"domain_scores_codex":[0.9986567,0.000649779,0.0001316159,0.0001246405,0.0001520443,0.0002850904],"domain_scores_gemma":[0.9956488,0.002347481,0.0007370597,0.0001474032,0.0005478638,0.0005714135],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"observational","study_design_scores_codex":[0.0001530654,0.000138625,0.07793639,0.0009939905,0.00003373398,0.0008819282,0.8771669,0.00003207458,0.0005044899,0.00166022,0.01985436,0.02064416],"study_design_scores_gemma":[0.0000123449,0.00007061243,0.04290319,0.0006081773,0.00001895259,0.0002127126,0.9277602,0.00007199938,0.0001609297,0.0003507452,0.02779409,0.00003608884],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9723009,0.001121618,0.0003553606,0.01150081,0.0002800224,0.0001871101,0.00340904,0.00002268916,0.01082233],"genre_scores_gemma":[0.9827895,0.002706117,0.0005563942,0.006623584,0.000242434,0.0008644843,0.001411974,0.00005917069,0.004746297],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01288898,"threshold_uncertainty_score":0.02562797,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1627236732617856,"score_gpt":0.4235370419228177,"score_spread":0.2608133686610322,"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."}}