{"id":"W2904592166","doi":"10.2196/12616","title":"Understanding Social Network and Support for Older Immigrants in Ontario, Canada: Protocol for a Mixed-Methods Study","year":2018,"lang":"en","type":"article","venue":"JMIR Aging","topic":"Elder Abuse and Neglect","field":"Social Sciences","cited_by":16,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto; University of Ottawa; Wilfrid Laurier University; The King's University; Toronto Metropolitan University","funders":"","keywords":"Immigration; Psychological resilience; Sociology; Intersectionality; Vulnerability (computing); Social isolation; Social support; Qualitative research; Gerontology; Psychology; Gender studies; Social psychology; Political science; Medicine; Social science","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":true,"about_ca":true,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001248324,0.0001067212,0.0001947544,0.00004822499,0.001025493,0.00007475031,0.0001137908,0.00006034602,0.00006034123],"category_scores_gemma":[0.0000332367,0.0001066335,0.00003762226,0.0001849227,0.00007955523,0.0001127174,0.00003313222,0.00009956178,2.03612e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006574378,"about_ca_system_score_gemma":0.001077592,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.8332924,"about_ca_topic_score_gemma":0.9994092,"domain_scores_codex":[0.9986995,0.0001564996,0.0001983964,0.0002583685,0.0001719379,0.0005152465],"domain_scores_gemma":[0.9994844,0.0002656099,0.00007174391,0.00006527819,0.00004788104,0.00006505095],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0003530188,0.0002907251,0.4741935,0.0001283043,0.0001107964,0.00001307654,0.3670067,0.00000314098,0.0000520248,0.002000598,0.1247047,0.03114339],"study_design_scores_gemma":[0.01196626,0.001118019,0.5061298,0.0005939073,0.00008863099,0.000002198237,0.1432433,0.0002418684,0.000182731,0.01637429,0.3188983,0.001160687],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"protocol","genre_gemma":"empirical","genre_scores_codex":[0.3064402,0.00001679274,0.03544208,0.002035508,0.001383742,0.6442708,0.00001235914,0.0001761524,0.0102223],"genre_scores_gemma":[0.8141992,2.70327e-7,0.002354009,0.0003094467,0.0008029722,0.1812761,0.000001955582,0.00002376576,0.001032288],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.507759,"threshold_uncertainty_score":0.7887365,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.09286072678928733,"score_gpt":0.4227319387916006,"score_spread":0.3298712120023133,"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."}}