{"id":"W4415762907","doi":"10.1002/mpr.70040","title":"interRAI Quality of Life for Mental Health and Addictions: Psychometric Properties and Differences Across Age, Gender, and Service Settings in Brazil","year":2025,"lang":"en","type":"article","venue":"International Journal of Methods in Psychiatric Research","topic":"Mental Health Treatment and Access","field":"Psychology","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Waterloo","funders":"","keywords":"Psychosocial; Quality of life (healthcare); Mental health; Psychometrics; Service (business); Minimum Data Set; Mental health service; Quality (philosophy)","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":[],"consensus_categories":[],"category_scores_codex":[0.008182095,0.0001196089,0.0004155628,0.001690221,0.0001415396,0.00007876932,0.0003421647,0.00009215379,0.00002198568],"category_scores_gemma":[0.0006882538,0.00009394866,0.00004672769,0.001010528,0.0001605626,0.0001520037,0.0001560716,0.0004627608,2.328742e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001271844,"about_ca_system_score_gemma":0.0001485309,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0009691291,"about_ca_topic_score_gemma":0.0002702321,"domain_scores_codex":[0.9964291,0.001415048,0.001177457,0.0002766919,0.0004038026,0.000297837],"domain_scores_gemma":[0.9977691,0.001257585,0.0004194716,0.0000987149,0.0003195597,0.0001356163],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00392213,0.0007530205,0.6025873,0.000956778,0.0002556503,0.0000018588,0.01415395,4.524339e-7,0.0001137158,0.002794255,0.002149006,0.3723119],"study_design_scores_gemma":[0.006905476,0.0006515488,0.9561999,0.000517212,0.000006591103,0.0000313587,0.02265464,0.0001347574,0.00002743892,0.01191084,0.0008524737,0.0001077357],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.95324,0.03303415,0.001053758,0.01030259,0.00129484,0.0005818862,0.00004170032,0.000003468625,0.0004475791],"genre_scores_gemma":[0.9664156,0.005566888,0.02673153,0.000938632,0.0001075174,0.00006390157,0.000004589535,0.000009368905,0.000162014],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3722042,"threshold_uncertainty_score":0.3831115,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.4100476820949098,"score_gpt":0.6465679195963855,"score_spread":0.2365202375014757,"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."}}