{"id":"W3201809193","doi":"10.1016/j.cjca.2021.09.033","title":"Digital Health: The Promise and Peril","year":2021,"lang":"en","type":"editorial","venue":"Canadian Journal of Cardiology","topic":"Mobile Health and mHealth Applications","field":"Health Professions","cited_by":14,"is_retracted":false,"has_abstract":false,"ca_institutions":"McMaster University; University Health Network; Ted Rogers Centre for Heart Research","funders":"","keywords":"Medicine; Digital health; Health care; Economic growth","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.01925685,0.005148059,0.005539487,0.009523088,0.006327875,0.02723506,0.005944641,0.03666061,0.02305333],"category_scores_gemma":[0.0708738,0.001635271,0.003870717,0.004412572,0.006552937,0.01113164,0.003370155,0.03304602,0.01245886],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.007591127,"about_ca_system_score_gemma":0.01211927,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.006289649,"about_ca_topic_score_gemma":0.02210177,"domain_scores_codex":[0.981575,0.00315619,0.001817531,0.001354771,0.01117217,0.0009242547],"domain_scores_gemma":[0.9027336,0.0473058,0.003521806,0.002217715,0.02897769,0.01524331],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00002239894,0.00001313551,0.00001721087,0.000280886,0.00001481072,0.00004991479,0.00001941182,0.00001294137,0.00001592977,0.0005367078,0.9939855,0.005031288],"study_design_scores_gemma":[0.00008986473,0.00002934651,0.0001837127,0.001221209,0.00005793577,0.0001493222,0.0001390869,0.0001251621,0.00003758429,0.00216181,0.9957742,0.00003063135],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"editorial","genre_gemma":"editorial","genre_scores_codex":[0.0000111189,0.008250672,0.0000483769,0.03251987,0.9581159,0.00001089707,0.00002467438,0.00002425092,0.0009941325],"genre_scores_gemma":[0.0002001437,0.006674426,0.00007170475,0.01708591,0.9713504,0.00001681671,0.00001596672,0.00002150974,0.004563181],"genre_candidate":"editorial","genre_consensus":"editorial","teacher_disagreement_score":0.03666061,"threshold_uncertainty_score":0.1018412,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02756410302940989,"score_gpt":0.374499068012084,"score_spread":0.3469349649826741,"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."}}