{"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":"codex-gemma-dda1882f352a","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0009003894,0.0001427165,0.0004412944,0.0003981706,0.0002066635,0.00004043223,0.0001960415,0.000104436,0.001669641],"category_scores_gemma":[0.0001070799,0.0001485478,0.00006996978,0.0006835171,0.0001588193,0.000162207,0.00007055453,0.0004411177,0.0001284612],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00180845,"about_ca_system_score_gemma":0.001205269,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001975805,"about_ca_topic_score_gemma":0.0008602182,"domain_scores_codex":[0.9974052,0.000306037,0.0007604738,0.0003581967,0.0003002785,0.000869803],"domain_scores_gemma":[0.9987502,0.000342673,0.0001710239,0.0003731917,0.00004072567,0.0003221941],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"observational","study_design_scores_codex":[0.000645076,0.001175954,0.09778277,0.003089568,0.00006406331,0.00002059607,0.02016929,0.00001549163,0.00001237973,0.6142739,0.2065277,0.05622315],"study_design_scores_gemma":[0.01266043,0.002272564,0.6693503,0.002377514,0.000008800655,0.00004099772,0.1059379,0.0003564918,0.00000514691,0.02917452,0.1772128,0.0006025304],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.4503147,0.01393762,0.03612731,0.1832715,0.005304753,0.009991231,0.001337902,0.0004003098,0.2993147],"genre_scores_gemma":[0.9777429,0.0002982008,0.000332824,0.006224733,0.00006187946,0.00009033961,0.0000863741,0.00002357862,0.01513921],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.5850994,"threshold_uncertainty_score":0.999243,"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."}}