{"id":"W7100077422","doi":"","title":"A Synthetic Cohort Analysis of Canadian Housing Careers,” Social and Economic Dimensions of an Aging Population Research Papers 107","year":2003,"lang":"en","type":"article","venue":"","topic":"Retirement, Disability, and Employment","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Population ageing; Population; Social research; Cohort; Cohort study","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":[0.008086899,0.0007452076,0.0006382114,0.002308966,0.003662932,0.001687502,0.00272258,0.001137885,0.004178873],"category_scores_gemma":[0.009474322,0.00062187,0.001864141,0.004689326,0.0007528014,0.0005382887,0.001497488,0.001194595,0.0006816614],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.008019073,"about_ca_system_score_gemma":0.01889089,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9782851,"about_ca_topic_score_gemma":0.9807514,"domain_scores_codex":[0.9978574,0.0008300656,0.0001113851,0.0003455776,0.0003075188,0.0005480808],"domain_scores_gemma":[0.9947349,0.000863131,0.0007218145,0.0009425583,0.001932557,0.0008050834],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.001254848,0.0001896587,0.9382856,0.00009694408,0.001309602,0.0004000376,0.001571304,0.007232221,0.000341781,0.005254866,0.02509775,0.01896543],"study_design_scores_gemma":[0.0002174548,0.0001548275,0.941404,0.00008144902,0.0005820491,0.0002007244,0.002841135,0.03219928,0.0002963305,0.0007423884,0.02119251,0.0000877468],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9616116,0.001079333,0.003511056,0.001060286,0.0001553045,0.0002785914,0.02975825,0.00009546778,0.002450214],"genre_scores_gemma":[0.9448305,0.000900012,0.004712522,0.0002881431,0.00006549681,0.0002884896,0.03731392,0.00005153937,0.01154927],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02171487,"threshold_uncertainty_score":0.05818272,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.2206970599434676,"score_gpt":0.4381831217814364,"score_spread":0.2174860618379688,"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."}}