{"id":"W2952482529","doi":"","title":"Connecting Older Chinese to Seniors Serving Organizations Services in Edmonton, Alberta, Canada","year":2019,"lang":"en","type":"article","venue":"Sigma's 30th International Nursing Research Congress","topic":"Migration, Aging, and Tourism Studies","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Calgary","funders":"","keywords":"Gerontology; Business; China; Political science; Medicine","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0009361236,0.0003673741,0.0004283724,0.0009850224,0.01602817,0.002894323,0.00164232,0.0008994841,0.008064253],"category_scores_gemma":[0.001431722,0.0003665076,0.0003196631,0.00258686,0.001678134,0.0009783305,0.003019617,0.001769308,0.0004325047],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.05011377,"about_ca_system_score_gemma":0.1505087,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9922124,"about_ca_topic_score_gemma":0.9986483,"domain_scores_codex":[0.9990197,0.00008229804,0.00002250242,0.00004588196,0.0001523399,0.0006772251],"domain_scores_gemma":[0.9966745,0.00008110373,0.0001014486,0.00002147351,0.0007258554,0.00239563],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0004557993,0.0008199859,0.5965796,0.0005739779,0.00008808989,0.003035634,0.1399267,0.00029729,0.001073147,0.003316254,0.1257111,0.1281224],"study_design_scores_gemma":[0.00003203785,0.0001113021,0.4438078,0.00044962,0.00004338567,0.0002150621,0.5199752,0.0001879067,0.0001292737,0.0003079627,0.03469596,0.00004455687],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9498359,0.002624164,0.0001480483,0.01941534,0.0004722433,0.0002071022,0.0009038472,0.00003296844,0.02636033],"genre_scores_gemma":[0.9558749,0.003423261,0.000650164,0.006424843,0.00007835145,0.0001038529,0.0005283584,0.00002602398,0.03289021],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.05011377,"threshold_uncertainty_score":0.3636025,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.008486074920995934,"score_gpt":0.3507416620272843,"score_spread":0.3422555871062883,"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."}}