{"id":"W4403758115","doi":"10.61959/ptdx6812e","title":"A Snapshot of Population Aging and Intergenerational Relationships in Canada","year":2017,"lang":"en","type":"report","venue":"","topic":"Migration, Aging, and Tourism Studies","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Snapshot (computer storage); Population ageing; Geography; Population; Demography; Computer science; Sociology; Database","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":[0.0005620918,0.0005025139,0.000509216,0.004626735,0.007920193,0.002987342,0.001468676,0.0005855472,0.00839799],"category_scores_gemma":[0.0015132,0.0003702937,0.0006255864,0.01445485,0.0005869458,0.001099867,0.002431761,0.001596218,0.001348215],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.05976018,"about_ca_system_score_gemma":0.1337623,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9981284,"about_ca_topic_score_gemma":0.999342,"domain_scores_codex":[0.9988054,0.00004418557,0.00005216241,0.00007870996,0.0004641083,0.0005553902],"domain_scores_gemma":[0.9961042,0.00008462375,0.0001442082,0.00006595761,0.002428592,0.001172484],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0001788516,0.0001568112,0.2715385,0.001214507,0.0001682872,0.001335451,0.02231705,0.0007796987,0.0006210338,0.004374395,0.5459496,0.1513658],"study_design_scores_gemma":[0.00001577233,0.00004212996,0.7425967,0.0009250039,0.00006323407,0.0003723496,0.03029801,0.0002955405,0.0002207275,0.0003991973,0.2246766,0.00009480904],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"other","genre_scores_codex":[0.3654812,0.02211482,0.001264664,0.01924312,0.000771357,0.0008609879,0.4516554,0.0006710383,0.1379374],"genre_scores_gemma":[0.7331008,0.03581334,0.006759925,0.004757565,0.0002371769,0.0006910175,0.1383841,0.0002193873,0.08003671],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.05976018,"threshold_uncertainty_score":0.4335925,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0804127709269315,"score_gpt":0.3355749294151993,"score_spread":0.2551621584882678,"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."}}