{"id":"W4285362885","doi":"10.2196/33769","title":"Readiness for Telemedical Services in Patients With Cardiovascular Diseases: Cross-sectional Study","year":2022,"lang":"en","type":"article","venue":"JMIR Formative Research","topic":"Telemedicine and Telehealth Implementation","field":"Medicine","cited_by":8,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Telemedicine; Telehealth; Medicine; Cross-sectional study; Logistic regression; Odds ratio; Demographics; Pandemic; Odds; Medical emergency; Rural area; Epidemiology; Health care; Family medicine; Multivariate analysis; Coronavirus disease 2019 (COVID-19); Internal medicine; Demography","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":[0.001395396,0.0002160635,0.0003957334,0.0008018421,0.0005638666,0.0006868895,0.0003097919,0.0007313211,0.00243471],"category_scores_gemma":[0.002600488,0.0004383622,0.0005146421,0.0008147532,0.0003228031,0.0007600706,0.000558382,0.0009701059,0.0004393395],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002296678,"about_ca_system_score_gemma":0.0003480379,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001954214,"about_ca_topic_score_gemma":0.002137451,"domain_scores_codex":[0.9993135,0.0001926945,0.0001155618,0.0001207422,0.0001485787,0.0001089444],"domain_scores_gemma":[0.9978638,0.0005837868,0.000815535,0.0001245202,0.0002169491,0.0003954045],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00002938435,0.0001702335,0.9989961,0.00001178504,0.00001556064,0.00004134265,0.0002611666,0.000008864749,0.00008080785,0.000006709522,0.0000315282,0.0003464618],"study_design_scores_gemma":[0.000008745648,0.0005993884,0.9973755,0.0000103145,0.00002128169,0.0002895062,0.001395041,0.0001146847,0.00003979908,0.000008507031,0.0001323516,0.000004933597],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9995576,0.00004877981,0.00004437718,0.00002014867,0.000002701735,0.00002531841,0.0001014245,0.000001159486,0.000198417],"genre_scores_gemma":[0.999622,0.00004843402,0.00007000855,0.00004808099,0.00000451594,0.0000279864,0.000102338,7.092613e-7,0.00007589305],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.00243471,"threshold_uncertainty_score":0.008144915,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04639576941826132,"score_gpt":0.4427223969823283,"score_spread":0.396326627564067,"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."}}