{"id":"W7001071630","doi":"","title":"The Impact of Retirement on Well-Being in Canada","year":2025,"lang":"en","type":"other","venue":"York University Digital Library (York University)","topic":"","field":"","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Mental health; Life satisfaction; Longitudinal study; Marital status; Socioeconomic status; Life course approach; Regression discontinuity design; Health and Retirement Study; Longitudinal data","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":[0.001331987,0.0001920802,0.0004247073,0.001500453,0.004370813,0.001759151,0.0007641664,0.0003922766,0.004889939],"category_scores_gemma":[0.004560417,0.0001486351,0.0007231723,0.003690014,0.0008780524,0.0004768571,0.001416926,0.0008953494,0.0002310844],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.06868668,"about_ca_system_score_gemma":0.132462,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9978117,"about_ca_topic_score_gemma":0.999019,"domain_scores_codex":[0.9987139,0.00009811244,0.00005013531,0.0001027949,0.0004888095,0.0005463053],"domain_scores_gemma":[0.996649,0.0002835324,0.0002868543,0.00007894455,0.001709668,0.000992015],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0004245403,0.0001149342,0.8279674,0.0004824373,0.0001740118,0.0004531751,0.01136722,0.001086871,0.000336462,0.008162845,0.03638278,0.1130473],"study_design_scores_gemma":[0.00001338368,0.00002776441,0.978352,0.0002669259,0.00003524466,0.00004286969,0.005156277,0.0004376803,0.00007053163,0.0002941485,0.01527381,0.00002942308],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9275602,0.0101363,0.0002713649,0.01307269,0.0002370397,0.00008165198,0.01748902,0.00003622967,0.03111549],"genre_scores_gemma":[0.987278,0.004755975,0.0002456944,0.0006505559,0.00002381239,0.00001875926,0.002157904,0.000008196846,0.004861061],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.06868668,"threshold_uncertainty_score":0.4983591,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.005575610547604252,"score_gpt":0.1621606257729618,"score_spread":0.1565850152253576,"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."}}