{"id":"W4292749567","doi":"10.2196/41680","title":"Sundhed.dk and MyHealth During the Corona Storm","year":2022,"lang":"en","type":"article","venue":"Iproceedings","topic":"Telemedicine and Telehealth Implementation","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"eHealth; Danish; Patient Empowerment; Pandemic; Transparency (behavior); Coronavirus disease 2019 (COVID-19); Telehealth; Telemedicine; Empowerment; Health care; Business; Internet privacy; Political science; Computer science; Medicine; Computer security; Infectious disease (medical specialty)","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":[0.001984799,0.0003624116,0.0003160163,0.0004571017,0.002187804,0.005865458,0.0006603367,0.003084821,0.08211298],"category_scores_gemma":[0.006232989,0.0003489364,0.0004782544,0.0003951306,0.001119234,0.002546146,0.004625196,0.001996179,0.02134225],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002571431,"about_ca_system_score_gemma":0.004399561,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.007784451,"about_ca_topic_score_gemma":0.009027968,"domain_scores_codex":[0.9979485,0.0005032513,0.00020989,0.0004523288,0.0005384398,0.0003476435],"domain_scores_gemma":[0.9964616,0.0008526812,0.0003605891,0.0002681913,0.0003886409,0.001668239],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"observational","study_design_scores_codex":[0.0003831103,0.00007927121,0.005593737,0.001092433,0.00003706222,0.00121059,0.002339778,0.0002428368,0.0008000559,0.01388205,0.8609045,0.1134346],"study_design_scores_gemma":[0.0000273313,0.00002212918,0.002484617,0.0004174179,0.000008250399,0.0004019528,0.001277218,0.00006934417,0.0002215341,0.001337599,0.9937151,0.00001760218],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.03563933,0.05837177,0.005566355,0.3053324,0.0290592,0.000244822,0.01899639,0.002980026,0.5438098],"genre_scores_gemma":[0.4159687,0.04515842,0.01179445,0.07480771,0.00620627,0.0003109386,0.01342908,0.0019627,0.4303616],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.08211298,"threshold_uncertainty_score":0.2746953,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02171678988853422,"score_gpt":0.3124071586312255,"score_spread":0.2906903687426913,"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."}}