{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002160583,0.0001411608,0.0002168358,0.0002357192,0.0002639912,0.00004363831,0.00004844722,0.00003407192,0.00001715671],"category_scores_gemma":[0.00004902242,0.0001297085,0.00003135693,0.0003122582,0.00003795604,0.0001635021,0.00002923032,0.0001721302,1.257811e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005015926,"about_ca_system_score_gemma":0.0001397998,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001722441,"about_ca_topic_score_gemma":0.0001569933,"domain_scores_codex":[0.9988439,0.00005499835,0.000283248,0.0003611256,0.0002238032,0.0002329425],"domain_scores_gemma":[0.9995551,0.00006836351,0.0001353262,0.0001473608,0.00002121467,0.00007262712],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0006015104,0.001302403,0.9802396,0.000120423,0.00003296256,0.000009752802,0.007745177,0.00378241,0.000001271188,0.00001438029,0.000002587749,0.006147547],"study_design_scores_gemma":[0.006708973,0.0006812713,0.7656026,0.0003511674,0.00004753747,0.00003050769,0.006149058,0.2201298,2.261065e-7,0.0002080904,2.794583e-7,0.00009048233],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9960188,0.0006692465,0.001651961,0.00001008333,0.0001838708,0.001245927,0.0001231923,0.00004133797,0.00005555533],"genre_scores_gemma":[0.9986372,0.00004139896,0.0008464498,0.000006779732,0.00007100657,0.0002928365,0.00006398978,0.00002569974,0.00001466036],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2163474,"threshold_uncertainty_score":0.5289359,"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."}}