{"id":"W3124913788","doi":"10.18502/kss.v5i2.8410","title":"Social and Managerial Aspects of Using Digital Health Technologies","year":2021,"lang":"en","type":"article","venue":"KnE Social Sciences","topic":"Healthcare Systems and Public Health","field":"Medicine","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Health care; Business; Relevance (law); The Internet; Digital health; Quarter (Canadian coin); Knowledge management; Population; Telemedicine; Public relations; Marketing; Computer science; Medicine; Political science; World Wide Web; Economics; Economic growth","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"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":[0.01465719,0.0002877116,0.0001718756,0.002942585,0.006981562,0.01334506,0.0009153337,0.002102718,0.006764953],"category_scores_gemma":[0.03281472,0.0002339684,0.0003254932,0.001936227,0.01129643,0.005736624,0.004896283,0.002183722,0.0005237937],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.006120251,"about_ca_system_score_gemma":0.005993039,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00335905,"about_ca_topic_score_gemma":0.00237255,"domain_scores_codex":[0.9715395,0.0198031,0.0007214254,0.0007651141,0.00445617,0.002714771],"domain_scores_gemma":[0.9579186,0.02731004,0.004363037,0.0016618,0.003650427,0.00509612],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"qualitative","study_design_scores_codex":[0.00008637855,0.0008826626,0.06002728,0.0004479718,0.0000942148,0.001525354,0.2090097,0.000699562,0.001502609,0.5721583,0.01830591,0.13526],"study_design_scores_gemma":[0.00007523002,0.0005190918,0.05695378,0.001043343,0.0000700093,0.001276007,0.3274929,0.002017653,0.001309236,0.1454029,0.4637189,0.0001209988],"study_design_candidate":"qualitative","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.2978937,0.003802017,0.005185366,0.1329484,0.000501323,0.0002292419,0.00008183413,0.00004772791,0.5593103],"genre_scores_gemma":[0.9859811,0.001097608,0.0008186813,0.004412268,0.0002902099,0.00006747444,0.00001424485,0.0000103767,0.007308078],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.01465719,"threshold_uncertainty_score":0.0775156,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1140267610750698,"score_gpt":0.4257452853311437,"score_spread":0.3117185242560739,"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."}}