{"id":"W4206472415","doi":"10.2196/preprints.20012","title":"Telemedicine: an alternative during the COVID-19 crisis (Preprint)","year":2020,"lang":"en","type":"preprint","venue":"","topic":"Telemedicine and Telehealth Implementation","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Dana (Canada)","funders":"","keywords":"Telemedicine; Preprint; Telehealth; Coronavirus disease 2019 (COVID-19); Limiting; Health care; Pandemic; Medical emergency; Triage; Personal protective equipment; Healthcare delivery; Business; Healthcare system; 2019-20 coronavirus outbreak; Telepsychiatry; Medicine; Nursing; Computer science; Disease; Engineering; Infectious disease (medical specialty); World Wide Web; Political science","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":[0.001358104,0.0003028596,0.0001744498,0.000621333,0.001109781,0.005120179,0.000480104,0.00269251,0.1201981],"category_scores_gemma":[0.00403033,0.00009237567,0.0002198314,0.0006467822,0.0008419509,0.003573185,0.001075288,0.0013123,0.02510358],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0009839485,"about_ca_system_score_gemma":0.001036772,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0008108821,"about_ca_topic_score_gemma":0.001926457,"domain_scores_codex":[0.9993691,0.0002399548,0.000035648,0.00005978247,0.0002302929,0.00006531234],"domain_scores_gemma":[0.9982476,0.0006480378,0.0001180417,0.0001471542,0.0004262218,0.0004129124],"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":[0.00007900607,0.00004112802,0.0003560711,0.0001219214,0.000004082445,0.000275341,0.0002934273,0.00007466019,0.000580564,0.02086136,0.8929804,0.08433209],"study_design_scores_gemma":[0.00001341616,0.00003782666,0.001089058,0.0001962629,0.000003239594,0.0002851727,0.0005075839,0.0001327909,0.0003189257,0.004217871,0.993193,0.000004975221],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.0084031,0.01639973,0.007115053,0.3446138,0.0560484,0.0001618091,0.001189311,0.002194816,0.5638741],"genre_scores_gemma":[0.11303,0.01729375,0.01132825,0.04237612,0.04008653,0.0001440587,0.001442232,0.001161239,0.7731379],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.1201981,"threshold_uncertainty_score":0.4021028,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.08099843323789596,"score_gpt":0.4108226332808922,"score_spread":0.3298242000429963,"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."}}