{"id":"W4221027015","doi":"10.2196/32819","title":"Accelerating Virtual Health Implementation Following the COVID-19 Pandemic: Questionnaire Study","year":2022,"lang":"en","type":"article","venue":"JMIR Formative Research","topic":"Telemedicine and Telehealth Implementation","field":"Medicine","cited_by":16,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Pfizer","keywords":"Revenue; Health care; Business; Government (linguistics); Health management system; Health policy; Medicine; Finance; Economic growth; Economics","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":[0.01670319,0.0002830661,0.0004546774,0.001449383,0.001847233,0.002010982,0.0008733535,0.001256201,0.003323775],"category_scores_gemma":[0.03405692,0.0006860616,0.0005953262,0.001441946,0.001377929,0.003827704,0.002289434,0.002450407,0.000805606],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002696615,"about_ca_system_score_gemma":0.004491313,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.006283075,"about_ca_topic_score_gemma":0.006160926,"domain_scores_codex":[0.9938416,0.003303917,0.0005960371,0.000381256,0.0006072395,0.001269887],"domain_scores_gemma":[0.9791313,0.009091961,0.00488619,0.0006167372,0.003380836,0.002892943],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001089977,0.001383662,0.7558737,0.0005472466,0.00005506434,0.0005876518,0.2070876,0.0002718813,0.0004647545,0.0008726173,0.00710083,0.02564587],"study_design_scores_gemma":[0.00006583393,0.00190912,0.483587,0.0006087706,0.00003479964,0.0005092366,0.4958405,0.001308992,0.0003395513,0.000342475,0.01536315,0.00009059801],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.996792,0.00009287861,0.0002881126,0.0009863047,0.00001564116,0.0003590407,0.0002853097,0.000008307846,0.001172344],"genre_scores_gemma":[0.9951823,0.0004243048,0.001033549,0.001485553,0.0000176595,0.0008779248,0.0002810896,0.000008724812,0.0006889262],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01670319,"threshold_uncertainty_score":0.08833593,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.2493924702591629,"score_gpt":0.5715774244651736,"score_spread":0.3221849542060107,"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."}}