{"id":"W3028933857","doi":"10.2196/19045","title":"Telehealth as a Bright Spot of the COVID-19 Pandemic: Recommendations From the Virtual Frontlines (\"Frontweb\")","year":2020,"lang":"en","type":"article","venue":"JMIR Public Health and Surveillance","topic":"Telemedicine and Telehealth Implementation","field":"Medicine","cited_by":101,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Telehealth; Workgroup; Pandemic; Social distance; Telemedicine; Health care; Coronavirus disease 2019 (COVID-19); Medicine; Nursing; Public health; Medical emergency; Political science; Disease; Computer science","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"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":[0.04425972,0.0009739422,0.0007248513,0.002365264,0.004170934,0.01344059,0.003485527,0.0131247,0.007050527],"category_scores_gemma":[0.09447096,0.0006771351,0.001523256,0.001763702,0.005978151,0.01343385,0.009581958,0.01930108,0.002808442],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.005582387,"about_ca_system_score_gemma":0.03826272,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.009589419,"about_ca_topic_score_gemma":0.02471579,"domain_scores_codex":[0.947164,0.03715152,0.004389421,0.001206495,0.007558646,0.002529881],"domain_scores_gemma":[0.9220622,0.04027265,0.004641819,0.002673277,0.0174441,0.01290587],"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":[0.00009628413,0.0005481136,0.005525946,0.003277828,0.00006433675,0.0007371632,0.0112071,0.0005217531,0.0007060611,0.02774529,0.5190788,0.4304914],"study_design_scores_gemma":[0.0002045457,0.0005623915,0.008818422,0.02184754,0.0001764948,0.000781795,0.05596185,0.001283765,0.001559842,0.03051311,0.8780261,0.0002641085],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"commentary","genre_gemma":"commentary","genre_scores_codex":[0.002215469,0.007238001,0.003509822,0.9756781,0.003224599,0.0002674858,0.00005782674,0.0001980427,0.007610627],"genre_scores_gemma":[0.1433973,0.1059697,0.09288564,0.6316462,0.00656089,0.001951565,0.0004461296,0.0003750499,0.01676768],"genre_candidate":"commentary","genre_consensus":"commentary","teacher_disagreement_score":0.04425972,"threshold_uncertainty_score":0.2340706,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1052019359859033,"score_gpt":0.3920095685940228,"score_spread":0.2868076326081195,"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."}}