{"id":"W6891852713","doi":"10.48448/mtgh-fs31","title":"Understanding the Influence of Immigration on the Aging Experience in Canada","year":2025,"lang":"en","type":"other","venue":"Underline Science Inc.","topic":"","field":"","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Mental health; Immigration; Social determinants of health; Psychological intervention; Population ageing; Social support; Public health; Quality of life (healthcare); Healthy aging; Population","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":[0.001081051,0.0002013928,0.0003246246,0.001187568,0.004979712,0.002102748,0.0006726261,0.0003486184,0.003070964],"category_scores_gemma":[0.003845782,0.0001229794,0.0003950723,0.002186202,0.001256063,0.0006666496,0.002004986,0.001034829,0.0001844594],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.04041805,"about_ca_system_score_gemma":0.1052492,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9970223,"about_ca_topic_score_gemma":0.9984391,"domain_scores_codex":[0.9992015,0.00008694965,0.00002651865,0.00006766559,0.000199933,0.0004175064],"domain_scores_gemma":[0.9982691,0.0002098341,0.0002164294,0.00004246468,0.0006959958,0.0005661104],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001212997,0.0000661662,0.8919096,0.0001773209,0.00006608391,0.0003339503,0.02240062,0.0004826807,0.0002556669,0.003535434,0.01032196,0.0703292],"study_design_scores_gemma":[0.000007785648,0.0000276199,0.9443633,0.0004657988,0.00006018466,0.00007737096,0.03598291,0.0007977546,0.0001085819,0.000671719,0.01740071,0.00003628262],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.961368,0.004791422,0.0003056748,0.01121587,0.00009879567,0.00004284338,0.002672819,0.00001678446,0.01948787],"genre_scores_gemma":[0.9925091,0.003460686,0.0002708995,0.0008534036,0.00002185367,0.0000163968,0.0006546418,0.000006702397,0.0022063],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.04041805,"threshold_uncertainty_score":0.2932548,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05886713755134726,"score_gpt":0.2971555227787608,"score_spread":0.2382883852274135,"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."}}