{"id":"W4311719602","doi":"10.3390/geriatrics7060139","title":"Constructing and Verifying an Alexithymia Risk-Prediction Model for Older Adults with Chronic Diseases Living in Nursing Homes: A Cross-Sectional Study in China","year":2022,"lang":"en","type":"article","venue":"Geriatrics","topic":"Psychosomatic Disorders and Their Treatments","field":"Medicine","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"National Natural Science Foundation of China","keywords":"Alexithymia; Toronto Alexithymia Scale; Medicine; Social support; Psychological resilience; Cross-sectional study; Clinical psychology; Depression (economics); Psychology","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"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":[0.00694221,0.0006862823,0.0007176464,0.00102647,0.0009174061,0.0007138971,0.0004731051,0.0004823039,0.0007113903],"category_scores_gemma":[0.007156874,0.0004320728,0.001504145,0.0007022055,0.0003127452,0.000589966,0.0006405004,0.0007320337,0.0001329227],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0009638163,"about_ca_system_score_gemma":0.001984889,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.04078057,"about_ca_topic_score_gemma":0.03178283,"domain_scores_codex":[0.9986153,0.0006105532,0.0001850865,0.0002530102,0.0002025292,0.00013354],"domain_scores_gemma":[0.9975126,0.0008189974,0.0003435189,0.0002944273,0.000775517,0.0002548906],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00003926228,0.0002122232,0.9954615,0.00001510968,0.00009296221,0.00005873866,0.0005307125,0.0002429946,0.0001283012,0.00002638173,0.00007336495,0.003118504],"study_design_scores_gemma":[0.00004068987,0.0006419012,0.9796339,0.00003113482,0.0002248668,0.0001302477,0.00161939,0.01711448,0.0002212659,0.00007369214,0.0002516113,0.00001667388],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9991903,0.00002894045,0.0005738708,0.00002412128,0.000003168087,0.00005039402,0.00004983366,0.000002701446,0.00007673676],"genre_scores_gemma":[0.9982498,0.00005290048,0.001220002,0.00002131888,0.000005334964,0.00008748088,0.0002356301,0.000002141697,0.0001253354],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.04078057,"threshold_uncertainty_score":0.0810864,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01102072746356311,"score_gpt":0.2910116950221198,"score_spread":0.2799909675585567,"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."}}