{"id":"W3014173184","doi":"10.2196/18811","title":"Interpreting COVID-19 and Virtual Care Trends: Cohort Study","year":2020,"lang":"en","type":"article","venue":"JMIR Public Health and Surveillance","topic":"Telemedicine and Telehealth Implementation","field":"Medicine","cited_by":125,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Coronavirus disease 2019 (COVID-19); Pandemic; Medicine; Cohort; Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2); Cohort study; Population; Demography; 2019-20 coronavirus outbreak; Disease; Environmental health; Outbreak; Virology; Internal medicine; Infectious disease (medical specialty)","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0008610248,0.0001599689,0.0004707883,0.000131236,0.0002290828,0.00003958883,0.00005223227,0.00004704487,0.00009778098],"category_scores_gemma":[0.0008190289,0.0001379271,0.00002284933,0.0003686078,0.00005889996,0.00008886607,0.0000592494,0.0002264804,0.000002899533],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001234756,"about_ca_system_score_gemma":0.0008080108,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003503426,"about_ca_topic_score_gemma":0.0003365242,"domain_scores_codex":[0.998037,0.0002597673,0.000501736,0.0004488828,0.0003007542,0.0004518093],"domain_scores_gemma":[0.9971624,0.0001598852,0.0001544398,0.0001573512,0.00008345301,0.002282496],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00009735649,0.00004218798,0.8478566,0.0004357202,0.00001968789,0.00001381272,0.02001734,6.937712e-8,0.000001857308,0.00003557763,0.008143173,0.1233367],"study_design_scores_gemma":[0.002899989,0.003233006,0.7707375,0.000007920014,0.000002001899,0.00003187064,0.03242757,0.0001262478,1.228744e-7,0.000001121049,0.1904261,0.0001065826],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8890458,0.001083718,0.0002971106,0.1075327,0.00008118959,0.001277913,0.00003050453,0.0001512777,0.0004997962],"genre_scores_gemma":[0.9367447,0.0001862799,0.00007688606,0.06242177,0.000209061,0.000116762,0.0001865722,0.00001639758,0.00004150984],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1822829,"threshold_uncertainty_score":0.5624505,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05136729606397606,"score_gpt":0.3910752941424507,"score_spread":0.3397079980784746,"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."}}