{"id":"W4364303208","doi":"10.3389/978-2-83252-030-7","title":"Digital Health Adoption: Looking Beyond the Role of Technology","year":2023,"lang":"en","type":"book","venue":"Frontiers research topics","topic":"Mobile Health and mHealth Applications","field":"Health Professions","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"NIHR Nottingham Biomedical Research Centre; Economic and Social Research Council; Medical Research Council; Canadian Institutes of Health Research; Grand Challenges Canada; UK Research and Innovation; Ministère de la Santé; Government of the United Kingdom; Ministère de la Santé et des Services sociaux; National Institute for Health and Care Research; Fonds de Recherche du Québec - Santé; Wellcome Trust","keywords":"Digital health; Business; Internet privacy; Psychology; Computer science; Political science; Health care","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["sts","research_integrity"],"consensus_categories":[],"category_scores_codex":[0.003007657,0.0002692306,0.0007462292,0.001019067,0.002315332,0.00002371614,0.001065507,0.001057934,0.0001227803],"category_scores_gemma":[0.0006537117,0.0002165333,0.0001382158,0.001000535,0.0006862115,0.00008340005,0.0006523178,0.004932028,0.0007257014],"about_ca_system_candidate":true,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001373703,"about_ca_system_score_gemma":0.01082236,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00007264238,"about_ca_topic_score_gemma":0.0001214739,"domain_scores_codex":[0.994805,0.0004928879,0.001315717,0.0005966505,0.001092178,0.001697616],"domain_scores_gemma":[0.9962586,0.0003006359,0.0006807191,0.001409895,0.0008815865,0.0004686308],"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":[0.00001678561,0.0000189343,0.0009001963,0.000762316,0.00002538793,0.000001317907,0.000276596,7.351746e-7,2.961781e-7,0.06130517,0.6642756,0.2724167],"study_design_scores_gemma":[0.0002093818,0.0001313734,0.0001652742,0.0003712097,0.00000670657,6.817321e-7,0.002889114,0.00004287509,7.943881e-7,0.1360656,0.860008,0.0001089712],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.00001759848,0.02366541,0.0006974845,0.1289664,0.002325755,0.01008783,0.0006987175,0.0003772696,0.8331636],"genre_scores_gemma":[0.00003115395,0.006981282,0.000594841,0.0006541469,0.001783011,0.004844347,0.0004664354,0.0001067103,0.9845381],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.2723077,"threshold_uncertainty_score":0.9989835,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06301010992242563,"score_gpt":0.446795813759088,"score_spread":0.3837857038366624,"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."}}