{"id":"W4205907311","doi":"10.2196/32764","title":"Digital Health Skillsets and Digital Preparedness: Comparison of Veterans Health Administration Users and Other Veterans Nationally","year":2021,"lang":"en","type":"article","venue":"JMIR Formative Research","topic":"Telemedicine and Telehealth Implementation","field":"Medicine","cited_by":6,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Health care; Medicine; Preparedness; Veterans Affairs; Disadvantaged; Digital health; Family medicine; Gerontology; Environmental health","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":[0.0007149224,0.0001946759,0.0002432815,0.001469178,0.0005208511,0.0008112302,0.0003618111,0.0003783749,0.00250459],"category_scores_gemma":[0.00258401,0.0002051803,0.0005650219,0.001701421,0.0003064677,0.0007760278,0.0008016187,0.000486096,0.0002222824],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000526829,"about_ca_system_score_gemma":0.0005353864,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01874522,"about_ca_topic_score_gemma":0.01904261,"domain_scores_codex":[0.9995234,0.0001226872,0.00006417761,0.00007832264,0.00008571793,0.0001257241],"domain_scores_gemma":[0.9987316,0.0002401691,0.0005454206,0.00004696108,0.0001355579,0.0003003376],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00004111587,0.00005543298,0.9984877,0.000007270441,0.00002937887,0.00001941252,0.0002647537,0.00001479988,0.00003036173,0.00002227867,0.00007746709,0.0009500351],"study_design_scores_gemma":[0.000007391225,0.0001718865,0.9965062,0.00001532852,0.00002129632,0.0001120977,0.002621918,0.0001963078,0.00003215069,0.00002835869,0.0002833175,0.000003830164],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9993717,0.00009558678,0.00002354062,0.00004251944,0.000003796413,0.000008464583,0.0001935011,0.000001013855,0.0002598328],"genre_scores_gemma":[0.9994824,0.00008358181,0.00002973411,0.00003138751,0.000006119249,0.00001238988,0.0002437928,9.416364e-7,0.0001096411],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01874522,"threshold_uncertainty_score":0.03727221,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0955766336698995,"score_gpt":0.5027764325305427,"score_spread":0.4071997988606432,"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."}}