{"id":"W1491666351","doi":"","title":"Gender, Race, and Immigration: Aging and Economic Security in Canada","year":2013,"lang":"en","type":"article","venue":"Canadian Review of Social Policy / Revue canadienne de politique sociale","topic":"Migration and Labor Dynamics","field":"Social Sciences","cited_by":9,"is_retracted":false,"has_abstract":true,"ca_institutions":"York University","funders":"","keywords":"Immigration; Poverty; Population; Political science; Demographic economics; Sociology; Geography; Economic growth; Demography; Economics","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":[0.001449089,0.0003226108,0.0005281126,0.002079416,0.007993687,0.002367349,0.001434115,0.0005838071,0.004914865],"category_scores_gemma":[0.004234962,0.0002066436,0.000938864,0.0048317,0.001355363,0.000794331,0.002023211,0.0009305382,0.0002688817],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.03502365,"about_ca_system_score_gemma":0.08358614,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9964246,"about_ca_topic_score_gemma":0.9987305,"domain_scores_codex":[0.9989603,0.00007823255,0.00005111647,0.0001042935,0.0003341379,0.0004720094],"domain_scores_gemma":[0.9973666,0.0001781419,0.0004159944,0.00006440728,0.0011447,0.0008300855],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001093438,0.00006060579,0.9477879,0.00008225629,0.00006245524,0.0002392488,0.007563718,0.000172216,0.0001110753,0.00229909,0.009595102,0.03191695],"study_design_scores_gemma":[0.000009333882,0.00002514809,0.9701582,0.0003296842,0.00007801083,0.000107543,0.01527316,0.0004298296,0.00008612092,0.0005545763,0.01291519,0.00003307657],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9659146,0.006295116,0.0002185787,0.007043739,0.000200692,0.000057767,0.003693691,0.00001956788,0.01655612],"genre_scores_gemma":[0.9881939,0.003440812,0.0003053702,0.0006246309,0.00002907465,0.00002449555,0.001054119,0.00001579774,0.006311807],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.03502365,"threshold_uncertainty_score":0.2541155,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01149331300899007,"score_gpt":0.2630760205375394,"score_spread":0.2515827075285493,"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."}}