{"id":"W6925529993","doi":"10.17605/osf.io/x4hcn","title":"Predicting Depressive Symptoms from Demographic, Social, Psychological, Behavioural, and Genetic Factors in Middle-Aged and Older Adults: A Trajectory Analysis of the Health and Retirement Study","year":2024,"lang":"en","type":"other","venue":"Open Science Framework","topic":"Infant Development and Preterm Care","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia","funders":"","keywords":"Depressive symptoms; Multinomial logistic regression; Health and Retirement Study; Ethnic group; Logistic regression; Depression (economics); Cognition; Middle age","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.005035098,0.0003904233,0.0005238311,0.0009120227,0.0006238819,0.0007821881,0.0006306788,0.0004514963,0.000928112],"category_scores_gemma":[0.00633654,0.000304839,0.001986141,0.001062676,0.0001847155,0.0005223129,0.001252565,0.0008427018,0.0003157007],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005246656,"about_ca_system_score_gemma":0.001129985,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.03458283,"about_ca_topic_score_gemma":0.04029379,"domain_scores_codex":[0.9992323,0.0004395267,0.00007002144,0.0001121113,0.00006518642,0.00008082371],"domain_scores_gemma":[0.9982381,0.0004785087,0.00031943,0.0003683447,0.0002555662,0.0003400136],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0002835261,0.00009681079,0.9943455,0.00001232922,0.0003120331,0.00002561906,0.0001512781,0.0005479335,0.0001298332,0.00007310108,0.0002555297,0.003766407],"study_design_scores_gemma":[0.00004048401,0.0002524981,0.9861171,0.00004726759,0.0002738161,0.00008111607,0.0005693464,0.01173502,0.00009396186,0.0003538764,0.0004210208,0.0000146136],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.997449,0.0002106563,0.001125568,0.0001649626,0.000007542545,0.00003307103,0.0009280569,0.000006961292,0.00007418534],"genre_scores_gemma":[0.9937935,0.0002236585,0.002298628,0.00003654821,0.000009104435,0.00006482407,0.003276965,0.000008312434,0.0002883699],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.03458283,"threshold_uncertainty_score":0.06876308,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04040385952507707,"score_gpt":0.3449573464114756,"score_spread":0.3045534868863985,"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."}}