{"id":"W4401810100","doi":"10.2196/56055","title":"Optimizing Technology-Based Prompts for Supporting People Living With Dementia in Completing Activities of Daily Living at Home: Experimental Approach to Prompt Modality, Task Breakdown, and Attentional Support","year":2024,"lang":"en","type":"article","venue":"JMIR Aging","topic":"Dementia and Cognitive Impairment Research","field":"Medicine","cited_by":7,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Dementia; Activities of daily living; Task (project management); Psychology; Everyday life; Cognitive psychology; Applied psychology; Computer science; Medicine; Engineering; Psychiatry","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0009593116,0.0002533938,0.0004286142,0.0007863117,0.0002025382,0.0001198904,0.0001150894,0.00006982847,0.0001204888],"category_scores_gemma":[0.00005693324,0.0002326519,0.00009239768,0.0005403133,0.0001218443,0.000247256,0.0003608036,0.0002374983,0.000001945194],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001806488,"about_ca_system_score_gemma":0.0001911725,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00002562902,"about_ca_topic_score_gemma":0.00001595704,"domain_scores_codex":[0.9976852,0.00005098428,0.0004537263,0.0006499359,0.0005032556,0.0006568999],"domain_scores_gemma":[0.999261,0.0002253623,0.0001160034,0.0001697995,0.0001004591,0.0001274096],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001495431,0.000718654,0.8241138,0.003508066,0.0002066803,0.00002890266,0.007415353,0.00007830495,0.1615325,0.00008641871,0.00007375761,0.002087922],"study_design_scores_gemma":[0.003601782,0.002087953,0.8449258,0.01048382,0.0003022229,0.0003454011,0.026083,0.04860163,0.06252455,0.00003884952,0.0001348868,0.0008700786],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9886376,0.0002321239,0.007567759,0.0004946913,0.00003135889,0.002163655,0.00002148831,0.0001394189,0.0007118548],"genre_scores_gemma":[0.9813761,0.000001694945,0.01692391,0.00005948363,0.00004382206,0.001274378,0.00006222515,0.00005471881,0.0002036421],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.09900797,"threshold_uncertainty_score":0.948727,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01783033619792466,"score_gpt":0.3204292350155902,"score_spread":0.3025988988176656,"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."}}