{"id":"W2954213477","doi":"10.1186/s13561-019-0239-5","title":"The medium, the message and the measure: a theory-driven review on the value of telehealth as a patient-facing digital health innovation","year":2019,"lang":"en","type":"review","venue":"Health Economics Review","topic":"Telemedicine and Telehealth Implementation","field":"Medicine","cited_by":61,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"Sydney Medical School; National Health and Medical Research Council; Medical Research Council","keywords":"Telehealth; Digital health; Measure (data warehouse); Health economics; Health services research; Health administration; Health informatics; Value (mathematics); Telemedicine; Digital advertising; Public health; Health care management; Business; Health care; Knowledge management; Computer science; Medicine; Marketing; Nursing; Economics; Data mining; Social media marketing; Economic growth","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.01968635,0.0007432309,0.004831263,0.000163509,0.0009874201,0.000078542,0.000694205,0.0001459085,0.00006381804],"category_scores_gemma":[0.003089393,0.0002837541,0.0005820292,0.001099569,0.0004694763,0.0001252552,0.0001971985,0.001510284,0.00008915033],"about_ca_system_candidate":true,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007315686,"about_ca_system_score_gemma":0.007303029,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002229663,"about_ca_topic_score_gemma":0.00005954948,"domain_scores_codex":[0.9884182,0.003726565,0.00555922,0.0007329973,0.0006507566,0.0009122789],"domain_scores_gemma":[0.9839643,0.006021653,0.007412489,0.00200597,0.0003087903,0.0002867871],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00003609357,0.00002236083,0.00000381072,0.2056725,0.0001672493,3.961263e-7,0.0002022419,1.170041e-7,9.59953e-10,0.04272095,0.01836204,0.7328122],"study_design_scores_gemma":[0.0007087932,0.0006159047,0.00001221664,0.2027159,0.0006225592,0.0001505171,0.0001243322,0.000006708349,3.078929e-8,0.0005039183,0.7943769,0.0001622593],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.000008745647,0.7915689,0.00001997415,0.1869439,0.000373932,0.02027636,0.0001484244,0.00002602372,0.0006336877],"genre_scores_gemma":[0.00004355497,0.8527333,0.00002075284,0.1453166,0.0002251947,0.001167027,0.000326714,0.00008939469,0.00007750482],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.7760148,"threshold_uncertainty_score":0.9999614,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.08498310095318941,"score_gpt":0.3975965974381594,"score_spread":0.31261349648497,"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."}}