{"id":"W4405711564","doi":"10.2196/59942","title":"Identifying Unmet Needs of Informal Dementia Caregivers in Clinical Practice: User-Centered Development of a Digital Assessment Tool","year":2024,"lang":"en","type":"article","venue":"JMIR Aging","topic":"Dementia and Cognitive Impairment Research","field":"Medicine","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Preprint; Dementia; Psychology; Gerontology; Medicine; Computer science; World Wide Web","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.04536322,0.0008441584,0.0008824096,0.002761234,0.0006862306,0.002581367,0.00133924,0.0007574157,0.001195513],"category_scores_gemma":[0.06745566,0.0005051825,0.001127028,0.001194902,0.001037871,0.001751449,0.003123709,0.0007895202,0.0003251468],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001084197,"about_ca_system_score_gemma":0.003604589,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000509082,"about_ca_topic_score_gemma":0.001211009,"domain_scores_codex":[0.9686187,0.02340096,0.003158698,0.001187728,0.002992915,0.0006409383],"domain_scores_gemma":[0.9357173,0.05091676,0.00316051,0.002527812,0.006319724,0.001357883],"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":[0.001290469,0.003265408,0.07952927,0.003982119,0.0002143321,0.0008404688,0.08389381,0.0012063,0.01106253,0.0008634767,0.004060481,0.8097914],"study_design_scores_gemma":[0.005461923,0.02795986,0.4723927,0.0153196,0.002015541,0.007861993,0.2182657,0.04405028,0.05208893,0.01146496,0.1416174,0.001501107],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8673559,0.0007159429,0.09761332,0.001563634,0.0001537734,0.02320839,0.0006477466,0.001192911,0.007548395],"genre_scores_gemma":[0.5186549,0.0006688387,0.4612057,0.0004905079,0.00004478441,0.01742641,0.0005322692,0.00008135536,0.0008952125],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.04536322,"threshold_uncertainty_score":0.2399065,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04572049355945094,"score_gpt":0.4344216199673113,"score_spread":0.3887011264078604,"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."}}