{"id":"W1970253444","doi":"10.1089/tmj.2011.0110","title":"Who Uses Telehealth? Setting a Usage Baseline for the Early Identification of Pandemic Influenza Activity","year":2012,"lang":"en","type":"article","venue":"Telemedicine Journal and e-Health","topic":"Telemedicine and Telehealth Implementation","field":"Medicine","cited_by":11,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Telehealth; Pandemic; Demography; Medicine; Coronavirus disease 2019 (COVID-19); Gerontology; Telemedicine; Internal medicine; Health care; Disease","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"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":[0.0006777534,0.0002373814,0.000244081,0.0009895707,0.0009078044,0.000728832,0.0005377741,0.0005124012,0.002463572],"category_scores_gemma":[0.002231658,0.0001392396,0.0003398261,0.001188991,0.0003560841,0.0008265584,0.0005688458,0.0005053956,0.0005858076],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.01028867,"about_ca_system_score_gemma":0.006643193,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.7612807,"about_ca_topic_score_gemma":0.7842997,"domain_scores_codex":[0.9992889,0.00008131322,0.00004528491,0.00008811428,0.0001944908,0.0003017878],"domain_scores_gemma":[0.9985678,0.00009010713,0.0004704422,0.00002976319,0.0004904788,0.0003514529],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001415134,0.00009197878,0.9889129,0.00006566841,0.00001396416,0.0001772594,0.001178382,0.00008539265,0.0005150209,0.00007599551,0.002491919,0.006249897],"study_design_scores_gemma":[0.000002808276,0.00004867397,0.9983023,0.00001310322,0.00000389523,0.00003994692,0.0007606624,0.00009126874,0.00004032744,0.000007311034,0.0006847503,0.000004878655],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9781231,0.000357978,0.0004731434,0.0008557591,0.000015504,0.0002724962,0.01257111,0.00005005721,0.007280799],"genre_scores_gemma":[0.9960489,0.0001636001,0.0002727231,0.000162389,0.00001303223,0.0001789835,0.002298492,0.000005819491,0.0008560966],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.7612807,"threshold_uncertainty_score":0.4802504,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0917959606321984,"score_gpt":0.419124329046285,"score_spread":0.3273283684140866,"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."}}