{"id":"W4366352052","doi":"10.1002/hec.4687","title":"Childhood‐onset disabilities and lifetime earnings growth: A longitudinal analysis","year":2023,"lang":"en","type":"article","venue":"Health Economics","topic":"Retirement, Disability, and Employment","field":"Social Sciences","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"Statistics Canada","funders":"","keywords":"Earnings; Earnings growth; Demographic economics; Economics; Demography; Longitudinal data; Finance","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":[0.0009542697,0.0001545983,0.0001736345,0.001137463,0.000738488,0.0006144072,0.0004400776,0.0002888151,0.001458002],"category_scores_gemma":[0.003079015,0.0001528198,0.0003946505,0.001641549,0.0001929094,0.0004803389,0.0007508479,0.0007642862,0.0002482095],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008255037,"about_ca_system_score_gemma":0.001359056,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.2040769,"about_ca_topic_score_gemma":0.2219033,"domain_scores_codex":[0.9996197,0.00006274172,0.00003130292,0.00006674165,0.00008102116,0.0001384014],"domain_scores_gemma":[0.9977342,0.0003201817,0.001014258,0.0001627639,0.0004172971,0.0003512518],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00003607762,0.00003029233,0.9974718,0.000003722027,0.00003466716,0.00003351898,0.0001050423,0.00007687044,0.0000287243,0.00005831677,0.000267638,0.001853327],"study_design_scores_gemma":[0.000002576781,0.00002302757,0.9985158,0.00001381507,0.00002237337,0.00005899074,0.0003135864,0.0003611602,0.00002820254,0.00004394673,0.0006120252,0.000004528637],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9953897,0.0003866638,0.0001565741,0.0001574828,0.000005651362,0.000009374082,0.003242109,0.000004169924,0.0006482277],"genre_scores_gemma":[0.9954277,0.0002773673,0.0001395483,0.00003453069,0.000008071898,0.00001343672,0.00349962,0.000002590646,0.0005971272],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2040769,"threshold_uncertainty_score":0.4057781,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1555390152612058,"score_gpt":0.4036726915495172,"score_spread":0.2481336762883115,"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."}}