{"id":"W4413464589","doi":"10.61838/kman.hn.3.4.2","title":"Understanding User Perceptions of Personalized Feedback in Digital Health Tools","year":2025,"lang":"en","type":"article","venue":"Health Nexus","topic":"Mental Health Research Topics","field":"Psychology","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Simon Fraser University","funders":"","keywords":"Human–computer interaction; Computer science; Perception; Digital health; Personalized medicine; Multimedia; Psychology; Health care; Bioinformatics; Neuroscience; Biology; Political science","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":[],"consensus_categories":[],"category_scores_codex":[0.008161284,0.0003933372,0.0003472806,0.0007795945,0.001015232,0.003254684,0.0005061998,0.001049393,0.001545624],"category_scores_gemma":[0.02623709,0.0002757714,0.0004097803,0.0004387682,0.001626188,0.00284063,0.001909543,0.0007723207,0.0001562419],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001203889,"about_ca_system_score_gemma":0.0007444606,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002305239,"about_ca_topic_score_gemma":0.001841499,"domain_scores_codex":[0.9942503,0.004081303,0.0002421163,0.0002083415,0.00078848,0.0004294974],"domain_scores_gemma":[0.9802117,0.01590374,0.001682144,0.000400518,0.001285853,0.0005160207],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"observational","study_design_scores_codex":[0.0003609008,0.0001395363,0.05565887,0.0007020827,0.00005077946,0.0007151146,0.8842173,0.0002875456,0.006542271,0.00120311,0.0004868129,0.04963568],"study_design_scores_gemma":[0.00006457388,0.001297544,0.1234542,0.001042019,0.000177667,0.001633599,0.8364041,0.002756195,0.004239699,0.002122886,0.02665656,0.0001508693],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9914335,0.0005826282,0.004411822,0.0006594441,0.00001556943,0.00004441692,0.00003491361,0.00003374292,0.002783929],"genre_scores_gemma":[0.9976713,0.0002481971,0.001391419,0.0001891646,0.000008700783,0.0000335578,0.00001759077,0.00000812408,0.0004319069],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.008161284,"threshold_uncertainty_score":0.04316157,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.2887316131367612,"score_gpt":0.4900259001511312,"score_spread":0.20129428701437,"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."}}