{"id":"W3189916381","doi":"10.1016/j.ssmph.2021.100890","title":"Intergenerational social mobility and self-rated health in Canada","year":2021,"lang":"en","type":"article","venue":"SSM - Population Health","topic":"Health disparities and outcomes","field":"Social Sciences","cited_by":17,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia","funders":"Social Sciences and Humanities Research Council of Canada","keywords":"Odds; Socioeconomic status; Social mobility; Demography; Self-rated health; Panel Study of Income Dynamics; Health equity; Social class; Medicine; Demographic economics; Gerontology; Logistic regression; Public health; Population; Sociology; Economics","routes":{"ca_aff":true,"ca_fund":true,"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":[0.001288486,0.0003971487,0.0006416212,0.002058644,0.00493465,0.002029414,0.001597807,0.0004097326,0.003957031],"category_scores_gemma":[0.004191568,0.0003410262,0.001003458,0.006471306,0.0008149574,0.0006066039,0.002829226,0.001207989,0.0003310011],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0400676,"about_ca_system_score_gemma":0.05449577,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9985885,"about_ca_topic_score_gemma":0.9989682,"domain_scores_codex":[0.99874,0.0001308349,0.00008212182,0.0002011861,0.0003673001,0.00047854],"domain_scores_gemma":[0.9969032,0.0001707734,0.0004069269,0.0001489532,0.001648385,0.0007216426],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00009800528,0.00004889315,0.9768347,0.00008271618,0.0001551529,0.0001038626,0.002342314,0.0002889491,0.00006280094,0.0008506215,0.006592414,0.01253949],"study_design_scores_gemma":[0.00001321293,0.00001461951,0.9920329,0.0001411874,0.00004543243,0.00004786432,0.002570545,0.0006164952,0.0000402648,0.0001750453,0.004274701,0.00002777086],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9472679,0.004013094,0.0004624963,0.002791376,0.00008246921,0.0001343223,0.0348144,0.00004265763,0.01039127],"genre_scores_gemma":[0.9871033,0.001629796,0.0004895779,0.0003234513,0.00001587351,0.00005743052,0.007563865,0.00001702052,0.002799627],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0400676,"threshold_uncertainty_score":0.2907121,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03425865498807755,"score_gpt":0.3699507671395554,"score_spread":0.3356921121514778,"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."}}