{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001782737,0.0003179068,0.0002660684,0.001437694,0.00113255,0.0009065061,0.0008366306,0.0004509072,0.002571026],"category_scores_gemma":[0.005285233,0.0003997693,0.0006620226,0.002324112,0.0003104429,0.001003288,0.001195268,0.0007077449,0.0004557449],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001000532,"about_ca_system_score_gemma":0.001511486,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.04716036,"about_ca_topic_score_gemma":0.06126413,"domain_scores_codex":[0.998628,0.0003794669,0.0001627237,0.0003140966,0.000234967,0.0002807508],"domain_scores_gemma":[0.9958319,0.0006497367,0.001875931,0.000518334,0.0006017616,0.0005224158],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00003202798,0.00003232252,0.9989707,0.00000946043,0.00002415562,0.00004057564,0.0001566889,0.00001665521,0.0000381087,0.00001433849,0.0002027763,0.0004621215],"study_design_scores_gemma":[0.000007545126,0.0001228352,0.9976524,0.00002381348,0.00003158164,0.0001636514,0.001191462,0.0002856917,0.00003644688,0.00002402137,0.0004532069,0.000007513424],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9961204,0.00009728558,0.0002202064,0.00006300962,0.00001146824,0.00009972332,0.002815722,0.000005273869,0.0005668803],"genre_scores_gemma":[0.9966509,0.0001221819,0.0004156027,0.00008362719,0.00001610176,0.00017215,0.002265015,0.000006907479,0.0002675143],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.04716036,"threshold_uncertainty_score":0.0937717,"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."}}