{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00067874,0.00007584404,0.0003464933,0.00008094351,0.000616383,0.00006567485,0.0000648038,0.0001023249,0.00001240338],"category_scores_gemma":[0.0002264563,0.00006401238,0.00004915044,0.0006915196,0.0005479907,0.0001436364,0.00007134204,0.0001158011,0.000001084121],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00008437187,"about_ca_system_score_gemma":0.002579524,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001255834,"about_ca_topic_score_gemma":0.0001443873,"domain_scores_codex":[0.9987122,0.00006829268,0.0002890863,0.0002332896,0.0003564177,0.0003407369],"domain_scores_gemma":[0.9996067,0.00003552185,0.0001454582,0.00005684941,0.00009707827,0.00005842726],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"observational","study_design_scores_codex":[0.00003630509,0.0002175602,0.02926633,0.001776477,0.00005751022,0.00007092943,0.01113336,3.46769e-7,0.001228322,0.2969657,0.002724531,0.6565226],"study_design_scores_gemma":[0.006759551,0.003147042,0.3449662,0.001415913,0.00009770573,0.0009297995,0.2593123,0.0005511754,0.002175248,0.08546251,0.2936253,0.00155725],"study_design_candidate":"design_other","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9092278,0.001365119,0.00006945293,0.06647253,0.000280669,0.0002461852,0.00002113828,0.0001052796,0.02221185],"genre_scores_gemma":[0.9990076,0.00004116522,0.0002737841,0.0002984116,0.0003062672,0.000001734068,0.000003179814,0.000004835445,0.00006298493],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.6549653,"threshold_uncertainty_score":0.4740782,"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."}}