{"id":"W6902167333","doi":"10.6084/m9.figshare.28720466.v1","title":"Additional file 6 of A realist review of factors critical for the implementation of eHealth in chronic disease management","year":2025,"lang":"en","type":"article","venue":"Figshare","topic":"Mobile Health and mHealth Applications","field":"Health Professions","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Toronto General Hospital; University of Toronto","funders":"","keywords":"eHealth; Chronic disease; Disease management; Telemedicine; Digital health; MEDLINE","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.005779594,0.0008667632,0.001346059,0.004925557,0.001026692,0.002002008,0.001783014,0.001718719,0.8980089],"category_scores_gemma":[0.1378411,0.0005745525,0.001644554,0.005801006,0.0003007327,0.002613467,0.001463518,0.001115488,0.1224268],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002844867,"about_ca_system_score_gemma":0.006193058,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01704818,"about_ca_topic_score_gemma":0.03264464,"domain_scores_codex":[0.9964203,0.001208358,0.00104897,0.0003589824,0.0007098985,0.000253577],"domain_scores_gemma":[0.8377765,0.1326151,0.008339469,0.003317585,0.01621133,0.001739988],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"systematic_review","study_design_scores_codex":[0.0003324483,0.00004361817,0.0009793229,0.01059045,0.00006218706,0.00003321518,0.0001152696,0.000108532,0.0000161105,0.00075015,0.9742397,0.01272898],"study_design_scores_gemma":[0.007668019,0.0002418046,0.04110604,0.04374671,0.0006229426,0.0003765907,0.00144405,0.0007626445,0.0002615225,0.01243045,0.8911408,0.000198471],"study_design_candidate":"systematic_review","study_design_consensus":null,"genre_codex":"dataset","genre_gemma":"review","genre_scores_codex":[0.0002728395,0.0002138328,0.0004129877,0.001138508,0.0001264486,0.000795134,0.9911721,0.0002471523,0.005620995],"genre_scores_gemma":[0.03699236,0.002443349,0.01769959,0.007926211,0.001332391,0.02931028,0.83577,0.001843895,0.06668189],"genre_candidate":"review","genre_consensus":null,"teacher_disagreement_score":0.8980089,"threshold_uncertainty_score":0.145478,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.09583451029556582,"score_gpt":0.5093169271106086,"score_spread":0.4134824168150428,"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."}}