{"id":"W4391394163","doi":"10.1177/08982643241229760","title":"Predictors of Retirement Voluntariness Using Canadian Longitudinal Study on Aging Data","year":2024,"lang":"en","type":"article","venue":"Journal of Aging and Health","topic":"Retirement, Disability, and Employment","field":"Social Sciences","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"Veterans Affairs Canada; University of Toronto; University of Prince Edward Island; McGill University; Queen's University","funders":"","keywords":"Voluntariness; Health and Retirement Study; Logistic regression; Psychology; Gerontology; Longitudinal study; Odds; Medicine; Political science","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true,"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":[0.002296348,0.0002424283,0.0002646965,0.001604596,0.001232082,0.0008057922,0.0006709725,0.000207608,0.001605889],"category_scores_gemma":[0.007590764,0.0001597137,0.0004815219,0.002346427,0.0002038036,0.000356755,0.0006817586,0.0007591509,0.0001612005],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.005203004,"about_ca_system_score_gemma":0.01249376,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.961427,"about_ca_topic_score_gemma":0.9736193,"domain_scores_codex":[0.9991946,0.00009477538,0.00007070067,0.0001219673,0.0003032685,0.0002146375],"domain_scores_gemma":[0.9964813,0.0004327458,0.0007997819,0.00017587,0.001658148,0.0004520399],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00002091766,0.00001135351,0.9971514,0.00001289822,0.0000271493,0.00001351844,0.0001155551,0.00009040457,0.00002348733,0.00005717569,0.0007310902,0.001745144],"study_design_scores_gemma":[0.000003509211,0.000009342593,0.9978911,0.00003010246,0.00001940629,0.0000136625,0.0003227624,0.0007803019,0.00003221018,0.0000249292,0.0008663586,0.00000637844],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9828284,0.0005578931,0.0004418927,0.0003926446,0.0000182027,0.00006338382,0.01352021,0.00002447382,0.002152907],"genre_scores_gemma":[0.9921879,0.0002741177,0.0005459989,0.00003558021,0.000005604195,0.00003552028,0.006492793,0.000005677354,0.0004167883],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.03857303,"threshold_uncertainty_score":0.0776003,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.5420758489044742,"score_gpt":0.5283772307139536,"score_spread":0.01369861819052065,"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."}}