{"id":"W7017751074","doi":"","title":"Building Connected Communities: Peel, Brampton – 2016 Census Older Immigrants","year":2018,"lang":"en","type":"article","venue":"SOURCE Sheridan's Institutional Repository (Sheridan College)","topic":"Migration, Aging, and Tourism Studies","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Loneliness; Census; Social isolation; Immigration; Isolation (microbiology); Resource (disambiguation)","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":[0.003759176,0.0003395385,0.000236078,0.003056972,0.002921878,0.002987158,0.001020822,0.0004814934,0.02572015],"category_scores_gemma":[0.01113756,0.0005033742,0.0002663448,0.003315825,0.0005941052,0.003699524,0.00517446,0.001290788,0.007827542],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.005548838,"about_ca_system_score_gemma":0.01518394,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.2823934,"about_ca_topic_score_gemma":0.5507441,"domain_scores_codex":[0.9986293,0.0003343574,0.000118693,0.0000839222,0.0006608538,0.0001728837],"domain_scores_gemma":[0.9955668,0.0004563231,0.0002191967,0.0003793891,0.002269464,0.001108837],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"observational","study_design_scores_codex":[0.00005302246,0.00008679184,0.009756487,0.0003044364,0.000007714124,0.0001147002,0.01197078,0.0001424646,0.0001087561,0.004345821,0.7955731,0.177536],"study_design_scores_gemma":[0.00002848229,0.00003288001,0.03109821,0.0005390203,0.00000456413,0.0000622311,0.01666809,0.0001701773,0.0001422235,0.001455963,0.9497713,0.00002679167],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.1422361,0.004002779,0.007298885,0.05388809,0.004026048,0.007361415,0.1839511,0.002783461,0.5944521],"genre_scores_gemma":[0.3044269,0.01245463,0.0502123,0.006552923,0.0007001837,0.01412255,0.1625086,0.00194716,0.4470748],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.7176066,"threshold_uncertainty_score":0.5614994,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01328824108496454,"score_gpt":0.2693006418623991,"score_spread":0.2560124007774345,"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."}}