{"id":"W4285331548","doi":"10.2196/35028","title":"Telemedicine Preparedness Among Older Adults With Chronic Illness: Survey of Primary Care Patients","year":2022,"lang":"en","type":"article","venue":"JMIR Formative Research","topic":"Telemedicine and Telehealth Implementation","field":"Medicine","cited_by":23,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Telemedicine; Preparedness; Medicine; The Internet; Medical emergency; Population; Health care; Family medicine; World Wide Web; 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":[0.0009432719,0.0001546268,0.0003081218,0.0007521574,0.0005627335,0.0005681547,0.0002671507,0.0006836271,0.001643269],"category_scores_gemma":[0.002131762,0.0002673617,0.0003317628,0.001022844,0.0002666886,0.0006416668,0.0006298303,0.0005471756,0.0003798297],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004967547,"about_ca_system_score_gemma":0.0005107255,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01101295,"about_ca_topic_score_gemma":0.01756949,"domain_scores_codex":[0.9993906,0.0001436884,0.0001154001,0.00008406967,0.0001703084,0.00009583603],"domain_scores_gemma":[0.9982517,0.0002441325,0.0007230262,0.00006507565,0.0002875424,0.0004285276],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00003067659,0.0001177651,0.9969624,0.00004407107,0.00001452807,0.00007776755,0.00070384,0.00001091641,0.0001685972,0.000005811644,0.000317652,0.001545963],"study_design_scores_gemma":[0.000008203133,0.0002031427,0.9983568,0.00001530647,0.000006918299,0.0001485872,0.0009702804,0.00003501334,0.00001945644,0.000004031992,0.0002304276,0.000001817399],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9981067,0.0001827587,0.00004154149,0.0001769975,0.00000564951,0.00007804444,0.0007952159,0.000004070021,0.0006089314],"genre_scores_gemma":[0.9985322,0.0002652783,0.0001226228,0.0003038679,0.00001530072,0.00009979359,0.0004723947,0.000001241306,0.0001872831],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01101295,"threshold_uncertainty_score":0.02189767,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03589496946069073,"score_gpt":0.388900568479378,"score_spread":0.3530055990186873,"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."}}