{"id":"W2900294010","doi":"10.1093/geroni/igy023.638","title":"SOCIAL RISK, VULNERABILITY AND PRECARITY: EXPLORING MIGRATION AND SETTLEMENT EXPERIENCES IN MID- TO LATER LIFE","year":2018,"lang":"en","type":"article","venue":"Innovation in Aging","topic":"Migration, Aging, and Tourism Studies","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Victoria","funders":"","keywords":"Precarity; Vulnerability (computing); Immigration; Invisibility; Context (archaeology); Inequality; Socioeconomic status; Life course approach; Ethnic group; Poverty; Settlement (finance); Social vulnerability; Social inequality; Social exclusion; Sociology; Gender studies; Demographic economics; Geography; Economic growth; Social psychology; Psychology; Demography; Psychological resilience; Population; Economics","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"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":[0.002454594,0.0004242049,0.0004847871,0.001451839,0.004519927,0.003272444,0.0006226155,0.0009551825,0.001586819],"category_scores_gemma":[0.002622384,0.0002713331,0.0004898552,0.000966605,0.004319603,0.003836718,0.006747731,0.001880659,0.0001558988],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001569143,"about_ca_system_score_gemma":0.002185877,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01435321,"about_ca_topic_score_gemma":0.03576596,"domain_scores_codex":[0.9993281,0.0003574963,0.00003070434,0.00005673661,0.00006394399,0.0001629529],"domain_scores_gemma":[0.999045,0.0003152789,0.0001931742,0.00004736756,0.0001073871,0.0002917893],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"qualitative","study_design_scores_codex":[0.00003455412,0.00007187028,0.06463888,0.00009382067,0.00002233754,0.0004510007,0.9217809,0.00003585064,0.0002385788,0.002607,0.0004100757,0.009615069],"study_design_scores_gemma":[0.000002155549,0.00006344063,0.05668512,0.0001570505,0.00001186577,0.0002810511,0.9377726,0.00005848585,0.0000534714,0.001168706,0.00373285,0.00001311603],"study_design_candidate":"qualitative","study_design_consensus":"qualitative","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9958246,0.001081352,0.0001656605,0.0008476487,0.00002044725,0.00001014841,0.00002020568,0.000001674342,0.00202834],"genre_scores_gemma":[0.997641,0.001303339,0.0002074532,0.0002027461,0.00001182388,0.00002263176,0.00002106083,0.000002030261,0.0005880708],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01435321,"threshold_uncertainty_score":0.02853936,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.07336862504630862,"score_gpt":0.3486186330427221,"score_spread":0.2752500079964134,"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."}}