{"id":"W7054983014","doi":"","title":"Building Connected Communities: Halton, Burlington – 2016 Census Older Immigrants","year":2018,"lang":"en","type":"article","venue":"SOURCE Sheridan's Institutional Repository (Sheridan College)","topic":"Laser Design and Applications","field":"Engineering","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":[0.002445009,0.0004198732,0.0002255937,0.002476533,0.002650472,0.002667518,0.0008163933,0.0005759581,0.03518364],"category_scores_gemma":[0.00556574,0.0004991995,0.0002641552,0.00308084,0.0004464798,0.001974774,0.003929729,0.0008937325,0.01033741],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.005027333,"about_ca_system_score_gemma":0.0116952,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.3350523,"about_ca_topic_score_gemma":0.5616902,"domain_scores_codex":[0.9990457,0.0001781504,0.0000845713,0.00007243278,0.0005037133,0.0001154872],"domain_scores_gemma":[0.9973532,0.0001960021,0.0001354633,0.0002162805,0.001544818,0.000554311],"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":[0.00005179182,0.0000600897,0.009979267,0.0002674776,0.000007654039,0.0001519969,0.006763807,0.0002111184,0.0002172006,0.003907683,0.8492042,0.1291777],"study_design_scores_gemma":[0.00002019759,0.00002011263,0.02093574,0.0002881651,0.000003737371,0.00005194726,0.00667428,0.0001609167,0.0001728341,0.0007316926,0.970923,0.00001733208],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.1131301,0.004701094,0.01037174,0.02797578,0.00313555,0.004689785,0.2042783,0.003898691,0.6278189],"genre_scores_gemma":[0.2323135,0.01148915,0.05668375,0.003996831,0.0005519145,0.008374806,0.1834998,0.001854529,0.5012357],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.6649477,"threshold_uncertainty_score":0.6662042,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.009576084594972552,"score_gpt":0.2166173810144017,"score_spread":0.2070412964194292,"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."}}