{"id":"W3115091255","doi":"10.1093/geroni/igaa057.1645","title":"The Effect of Long-Term Changes in Daily Stress Processes on Prospective Health: An Application of Three-Level SEM","year":2020,"lang":"en","type":"article","venue":"Innovation in Aging","topic":"Health disparities and outcomes","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Victoria","funders":"","keywords":"Affect (linguistics); Longitudinal study; Activities of daily living; Term (time); Demography; Longitudinal data; Gerontology; Prospective cohort study; Psychology; Experience sampling method; Stress (linguistics); Medicine; Statistics; Mathematics; Physical therapy; Social psychology; Internal medicine","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":[0.04256009,0.001413479,0.002356976,0.002866765,0.001139919,0.003342078,0.002991351,0.001093321,0.00320402],"category_scores_gemma":[0.0887512,0.0009418673,0.004579762,0.004344345,0.00214088,0.001870449,0.003718646,0.002300454,0.0003804802],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001403986,"about_ca_system_score_gemma":0.002228659,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01481016,"about_ca_topic_score_gemma":0.01002155,"domain_scores_codex":[0.9446937,0.04598043,0.002001159,0.004443207,0.002142733,0.0007387319],"domain_scores_gemma":[0.8960031,0.08578854,0.004194192,0.01119589,0.002295539,0.0005227687],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0009661967,0.0009646683,0.7618783,0.0006409371,0.009986727,0.0005517922,0.003969207,0.065317,0.001953828,0.04649025,0.002885485,0.1043957],"study_design_scores_gemma":[0.000111686,0.001258472,0.2526922,0.0002567667,0.0010244,0.0002330579,0.002204407,0.6744633,0.001535045,0.06118249,0.004887673,0.0001505837],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.4113364,0.0004259084,0.5805592,0.0005792064,0.0001907369,0.0006717191,0.001491181,0.001055439,0.003690325],"genre_scores_gemma":[0.8432999,0.0001527008,0.1536875,0.0001177563,0.00004055151,0.001155523,0.0008490028,0.0000874316,0.00060976],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.04256009,"threshold_uncertainty_score":0.2250819,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06213209195906461,"score_gpt":0.3839139475626824,"score_spread":0.3217818556036178,"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."}}