{"id":"W3082109400","doi":"10.3332/ecancer.2020.ed104","title":"Rapidly established telehealth care for blood cancer patients in Nepal during the COVID-19 pandemic using the free app Viber","year":2020,"lang":"en","type":"editorial","venue":"ecancermedicalscience","topic":"COVID-19 and healthcare impacts","field":"Medicine","cited_by":10,"is_retracted":false,"has_abstract":true,"ca_institutions":"Queen's University","funders":"American Society of Clinical Oncology","keywords":"Medicine; Telehealth; Pandemic; Public health; Coronavirus disease 2019 (COVID-19); Schedule; Medical emergency; Health care; Telemedicine; Family medicine; Nursing; Disease; Economic growth; Pathology; Infectious disease (medical specialty)","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":[0.005404477,0.002286521,0.00152273,0.002150698,0.002529113,0.005465414,0.002302392,0.01450245,0.01047007],"category_scores_gemma":[0.0219652,0.0009624212,0.00173415,0.0009918857,0.001889289,0.00434117,0.001471446,0.02040018,0.006401716],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002245735,"about_ca_system_score_gemma":0.00286953,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002239347,"about_ca_topic_score_gemma":0.006181869,"domain_scores_codex":[0.9963799,0.001023089,0.0005131161,0.000361196,0.001435024,0.0002876035],"domain_scores_gemma":[0.9784256,0.01462596,0.000770881,0.0002974819,0.003808218,0.002071885],"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":[0.00003358577,0.0000212768,0.00005789794,0.0005644264,0.00001405268,0.0002131054,0.00008747281,0.00002388873,0.00006294779,0.0003707962,0.9860502,0.01250026],"study_design_scores_gemma":[0.00003663433,0.00005921083,0.0003018283,0.001103109,0.00003389592,0.000356075,0.0001888051,0.00007244113,0.00009086101,0.0004685448,0.997272,0.00001659379],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"editorial","genre_gemma":"editorial","genre_scores_codex":[0.0001289771,0.0116536,0.0001738653,0.05481343,0.9294702,0.00006842653,0.0000649254,0.00006214498,0.003564437],"genre_scores_gemma":[0.000815158,0.0150265,0.0001400681,0.03928778,0.9332968,0.00004825542,0.00003877343,0.00004005149,0.01130669],"genre_candidate":"editorial","genre_consensus":"editorial","teacher_disagreement_score":0.01450245,"threshold_uncertainty_score":0.03502584,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04408236896162692,"score_gpt":0.3992261566500669,"score_spread":0.35514378768844,"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."}}