{"id":"W3020090207","doi":"10.1089/tmj.2020.0099","title":"Telemedicine and e-Health Solutions for COVID-19: Patients' Perspective","year":2020,"lang":"en","type":"letter","venue":"Telemedicine Journal and e-Health","topic":"Telemedicine and Telehealth Implementation","field":"Medicine","cited_by":102,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Telemedicine; Pandemic; Coronavirus disease 2019 (COVID-19); eHealth; Digital health; Health care; Library science; Medicine; Family medicine; Political science; Computer science; Internal medicine","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":[0.0146485,0.0005904568,0.001102646,0.002783245,0.002680806,0.009877733,0.001798603,0.01378621,0.02944458],"category_scores_gemma":[0.03590056,0.000388345,0.001290774,0.004006225,0.003625986,0.01848277,0.003804959,0.01528927,0.007564619],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.005356241,"about_ca_system_score_gemma":0.009776164,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004254508,"about_ca_topic_score_gemma":0.008343772,"domain_scores_codex":[0.9889397,0.005511847,0.001342876,0.0005171192,0.00271567,0.000972768],"domain_scores_gemma":[0.9423146,0.03176007,0.003776362,0.0008303977,0.01228759,0.009030945],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00007990089,0.0000766495,0.0007037145,0.002890374,0.00005670406,0.0002329847,0.001122059,0.00006642184,0.0001345402,0.02202328,0.8982044,0.07440897],"study_design_scores_gemma":[0.00004413646,0.00008913455,0.0008076104,0.00768233,0.00005559756,0.0006594136,0.00346457,0.00003451045,0.00006935858,0.007471573,0.9795793,0.00004240957],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"commentary","genre_gemma":"commentary","genre_scores_codex":[0.0004154381,0.1189646,0.0001221791,0.8621007,0.005145486,0.000009965767,0.0001864844,0.00001603644,0.01303915],"genre_scores_gemma":[0.01682533,0.3785547,0.0007174963,0.5762734,0.01946279,0.00006039436,0.0002503062,0.00004135833,0.007814192],"genre_candidate":"commentary","genre_consensus":"commentary","teacher_disagreement_score":0.02944458,"threshold_uncertainty_score":0.09850192,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1093247048571686,"score_gpt":0.4131309570629322,"score_spread":0.3038062522057636,"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."}}